Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
How to use transfer learning and fine-tuning in Keras and Tensorflow to build an image recognition…
How to deploy Machine Learning models with TensorFlow. Part 1 — make your model ready for serving.
Methods of Machine Learning - Scaler Blogs
image-classification-indoors-outdoors/image-classification.ipynb at master · manena/image-classification-indoors-outdoors
(620) Learning to Communicate with Deep Multi-Agent Reinforcement Learning - Jakob Foerster - YouTube
Compressing deep neural nets
Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks - Uber Engineering Blog
Run python script from init.d
Daemon vs Upstart for python script - Stack Overflow
Reinforcement learning for complex goals, using TensorFlow - O'Reilly Media
Blockchains: How They Work and Why They’ll Change the World - IEEE Spectrum
NET292.profile.indd
GANs are Broken in More than One Way: The Numerics of GANs
(74) Stanford Seminar - "Deep Learning for Dummies" Carey Nachenberg of Symantec and UCLA CS - YouTube
Fast.ai: What I Learned from Lessons 1–3 – Hacker Noon
Meet Horovod: Uber's Open Source Distributed Deep Learning Framework
Home · cat /var/log/life
2D & 3D Visualization using NCE Cost | Kaggle
New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine
Feature Visualization
Face It – The Artificially Intelligent Hairstylist | Intel® Software
What is TensorFlow? | Opensource.com
Estimating an Optimal Learning Rate For a Deep Neural Network – Medium
Understanding Hinton’s Capsule Networks. Part I: Intuition.
Capsule Networks Are Shaking up AI — Here’s How to Use Them
Research Blog: Eager Execution: An imperative, define-by-run interface to TensorFlow
Google and Uber’s Best Practices for Deep Learning – Intuition Machine – Medium
TFX: A TensorFlow-based production scale machine learning platform | the morning paper
Comprehensive data exploration with Python | Kaggle
An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model | DLology
Distributed TensorFlow: A Gentle Introduction
Google Developers Blog: Introduction to TensorFlow Datasets and Estimators
Google Developers Blog: Introducing TensorFlow Feature Columns
TensorLy: Tensor learning in Python
Question answering with TensorFlow - O'Reilly Media
Kubernetes + GPUs ? Tensorflow – Intuition Machine – Medium
Welcoming the Era of Deep Neuroevolution - Uber Engineering Blog
Deep Learning for NLP, advancements and trends in 2017 - Tryolabs Blog
Turning Design Mockups Into Code With Deep Learning - FloydHub Blog
AI and Deep Learning in 2017 – A Year in Review – WildML
Research Blog: The Google Brain Team — Looking Back on 2017 (Part 1 of 2)
Reinforcement Learning · Artificial Inteligence
Sketching Interfaces – Airbnb Design
Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning - Data Science Central
Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow – CV-Tricks.com
A neural approach to relational reasoning | DeepMind
Deep Reinforcement Learning Doesn't Work Yet
Big Picture: Google Visualization Research
Research Blog: Using Evolutionary AutoML to Discover Neural Network Architectures
Secure Computations as Dataflow Programs - Cryptography and Machine Learning
Teach Machine to Comprehend Text and Answer Question with Tensorflow - Part I · Han Xiao Tech Blog
Deep Reinforcement Learning: Pong from Pixels
Tensorboard on gcloud
Entity extraction using Deep Learning based on Guillaume Genthial work on NER
Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability
Predicting physical activity based on smartphone sensor data using CNN + LSTM
Learn Word2Vec by implementing it in tensorflow – Towards Data Science
TutorialBank: Learning NLP Made Easier - Alexander R. Fabbri
How to Quickly Train a Text-Generating Neural Network for Free
Code2Pix - Deep Learning Compiler for Graphical User Interfaces
naacl18.pdf
Deep Learning for Object Detection: A Comprehensive Review
4 Sequence Encoding Blocks You Must Know Besides RNN/LSTM in Tensorflow · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more!
Automated front-end development using deep learning
A New Angle on L2 Regularization
Another Datum
IML-Sequence
ml4a-guides/q_learning.ipynb at experimental · ml4a/ml4a-guides
tensorflow-without-a-phd/00_RNN_predictions_playground.ipynb at master · GoogleCloudPlatform/tensorflow-without-a-phd
Convolutional Neural Network based Image Colorization using OpenCV | Learn OpenCV
Transfer Learning in NLP – Feedly Blog
CS 229 - Deep Learning Cheatsheet
Google AI Blog: Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
Building a text classification model with TensorFlow Hub and Estimators
Deploy TensorFlow models – Towards Data Science
Deep Learning – Mohit Jain
Анализ тональности текстов с помощью сверточных нейронных сетей / Блог компании Mail.Ru Group / Хабр
Machine Reading Comprehension Part II: Learning to Ask & Answer · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more!
How to Quickly Train a Text-Generating Neural Network for Free
Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code
More Effective Transfer Learning for NLP
Machine Learning using Google Cloud ML Engine. – Gautam Karmakar – Medium
Training and Serving ML models with tf.keras – TensorFlow – Medium
How to deploy TensorFlow models to production using TF Serving
Playing Mortal Kombat with TensorFlow.js. Transfer learning and data augmentation · Minko Gechev's blog
Beyond Interactive: Notebook Innovation at Netflix – Netflix TechBlog – Medium
Mask R-CNN with OpenCV - PyImageSearch
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time
Serving ML Quickly with TensorFlow Serving and Docker
Human-Centered AI
Keras as a simplified interface to TensorFlow: tutorial
Serving Google BERT in Production using Tensorflow and ZeroMQ · Han Xiao Tech Blog - Deep Learning, NLP, AI
Multilingual Sentence Embeddings for Zero-Shot Transfer – Applying a Single Model on 93 Languages | Lyrn.AI
Deploy flask app with nginx using gunicorn and supervisor
Dept. of Computer Sci.: Module Handbook for the Bachelor and Master Programmes
14 NLP Research Breakthroughs You Can Apply To Your Business
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time
A gallery of interesting Jupyter Notebooks · jupyter/jupyter Wiki
CS294-158 Deep Unsupervised Learning Spring 2018
Object Detection in Google Colab with Custom Dataset
Advanced Visualization for Data Scientists with Matplotlib
FavioVazquez/ds-cheatsheets: List of Data Science Cheatsheets to rule the world
Gentle Dive into Math Behind Convolutional Neural Networks
Customer churn prediction in telecom using machine learning in big data platform
How to Port-Forward Jupyter Notebooks – Scott Hawley – Development Blog
Top 8 trends from ICLR 2019
The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time
Google AI Blog: Transformer-XL: Unleashing the Potential of Attention Models
TensorFlow & reflective tape : why I’m bad at basketball ?
Topic Modeling with LSA, PLSA, LDA & lda2Vec
GAN — Some cool applications of GANs. – Jonathan Hui – Medium
A Recipe for Training Neural Networks
Practice Quantum Computing | Brilliant
dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Weight Agnostic Neural Networks
Transformers from scratch | Peter Bloem
The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time
The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time
ml-dl -
Indaba2019 NLP Talk.pdf - Google Drive
Automation via Reinforcement Learning
CS 224N | Home
mihail911/nlp-library: curated collection of papers for the nlp practitioner ??
Production-ready Docker images
The key lessons from “Where Good Ideas Come From” by Steven Johnson
Neural Networks Example, Math and code – Brian Omondi Asimba
How to apply machine learning and deep learning methods to audio analysis
A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time
NeurIPS · SlidesLive
https://towardsdatascience.com/from-pre-trained-word-embeddings-to-pre-trained-language-models-focus-on-bert-343815627598
Joel Grus – Fizz Buzz in Tensorflow
(160) Visual Interpretability of CNNs | Himanshu Rawlani | PyData Pune Meetup | July 2019 - YouTube
Memo's Island: A simple and interpretable performance measure for a binary classifier
Data-Science-Periodic-Table.pdf
Writing a Generic TensorFlow Serving Client for Tensorflow Serving models
Writing a Generic TensorFlow Serving Client for Tensorflow Serving models
dspace.mit.edu/bitstream/handle/1721.1/41487/AI_WP_316.pdf
Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab
7 advanced pandas tricks for data science - Towards Data Science
Google AI Blog: XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
CNN Explainer
Polo Club of Data Science @ Georgia Tech: Human-Centered AI, Deep Learning Interpretation & Visualization, Cybersecurity, Large Graph Visualization and Mining | Georgia Tech | Atlanta, GA 30332, United States
Sara Robinson
Common statistical tests are linear models (or: how to teach stats)
Zero-Shot Learning for Text Classification
Python Deep Learning Projects
Deep Learning
Fast Artificial Neural Network Library (FANN)
The Nature of Code
Create and Train Custom Neural Network Architectures - MATLAB & Simulink - MathWorks India
limdu js framework
Neural networks and deep learning
NN Why Does it Work?
Introduction to Convex Optimization | Electrical Engineering and Computer Science | MIT OpenCourseWare
Python Programming Tutorials imge recognition
Data Science and Machine Learning Essentials | edX
Deep learning – Convolutional neural networks and feature extraction with Python | Pyevolve
50 external machine learning / data science resources and articles - Data Science Central
Hacker's guide to Neural Networks
Fast Forward Labs: How do neural networks learn?
Machine Learning
Memkite – Deep Learning for iOS (tested on iPhone 6S), tvOS and OS X developed in Metal and Swift | Memkite
Demis Hassabis, CEO, DeepMind Technologies - The Theory of Everything | Machine Learning & Computer Vision Talks
DataTau- hacker news on DL
Deeplearning4j - Open-source, distributed deep learning for the JVM
Torch | Recurrent Model of Visual Attention
Machine Learning for Developers by Mike de Waard
Deep Learning - Community - Google+
A Tour of Machine Learning Algorithms - Data Science Central
Understanding Natural Language with Deep Neural Networks Using Torch | Parallel Forall
What a Deep Neural Network thinks about your #selfie
Jason Yosinski
WildML | A blog about Machine Learning, Deep Learning and NLP.
Getting Started — TensorFlow
Deep Learning:Theoretical Motivations - VideoLectures.NET
Unsupervised Feature Learning and Deep Learning Tutorial
Wit — Getting Started
research.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf
ujjwalkarn/Machine-Learning-Tutorials
Top 10 Machine Learning APIs: AT&T Speech, IBM Watson, Google Prediction | ProgrammableWeb
NeuroVis | An interactive introduction to neural networks
learning_tensorflow/word2vec.md at master · chetannaik/learning_tensorflow
intro2deeplearning/notebooks at master · rouseguy/intro2deeplearning
Autoencoders - Ep. 10 (Deep Learning SIMPLIFIED) - YouTube
Python Programming Tutorials
How to Prepare Data For Machine Learning - Machine Learning Mastery
Solve Machine Learning Problems Step-by-Step - Machine Learning Mastery
Implementing a CNN for Text Classification in TensorFlow – WildML
Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask
7 Steps to Mastering Machine Learning With Python
DeepLearningKit – Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS | Open Source Deep Learning Framework for iOS, OS X and tvOS
A Visual Introduction to Machine Learning
Attention and Memory in Deep Learning and NLP – WildML
A Neural Network in 11 lines of Python (Part 1) - i am trask
Python Training | Python For Data Science | Learn Python
Understanding LSTM Networks -- colah's blog
deeplearning4nlp-tutorial/2015-10_Lecture at master · nreimers/deeplearning4nlp-tutorial
Collection Of 51 Free eBooks On Python Programming
Analyzing 50k fonts using deep neural networks | Erik Bernhardsson
Data Science Ontology
Reddit Machine Learning
RNNs in Darknet
caesar0301/awesome-public-datasets: An awesome list of high-quality open datasets in public domains (on-going).
A Beginner's Guide to Recurrent Networks and LSTMs - Deeplearning4j: Open-source, distributed deep learning for the JVM
Essentials of Machine Learning Algorithms (with Python and R Codes)
PythonForArtificialIntelligence - Python Wiki
carpedm20/lstm-char-cnn-tensorflow: LSTM language model with CNN over characters in TensorFlow
kjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN
sherjilozair/char-rnn-tensorflow: Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Stanford University CS231n: Convolutional Neural Networks for Visual Recognition
Top Youtube Videos On Machine Learning, Neural Network & Deep Learning
The Spectator ← Shakir's Machine Learning Blog
Preprocessing text data — Computational Statistics in Python 0.1 documentation
Tutorial : Beginner to advanced machine learning in 15 hour Videos – AnalyticsPro : Analytics Tutorials for Data Science , BI & Big Data
Next Big Future: Recurrent Neural Nets
Must Know Tips/Tricks in Deep Neural Networks - Data Science Central
Visual Question Answering Demo in Python Notebook – Aaditya Prakash (Adi) – Random Musings of Computer Vision grad student
A Neural Network Playground
Machine Learning : Few rarely shared trade secrets - Data Science Central
Russell Stewart- debug NN
Extracting meaningful content from raw HTML – Thomas Uhrig
Russell Stewart
Recurrent Neural Networks | The Shape of Data
ITP-NYU - Spring 2016
White Rain Noise Generator | White Noise & Rain Combined
Machine Learning
A GloVe implementation in Python - foldl
Understanding Convolution in Deep Learning - Tim Dettmers
The Chars74K image dataset - Character Recognition in Natural Images
A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems ← The Spectator
Tensorflow and deep learning - without a PhD - Google Slides
Parity problem, sequential: 1 bit at a time
Machine learning with Python: A Tutorial
Neural networks and deep learning
Juergen Schmidhuber's home page - Universal Artificial Intelligence - New AI - Deep Learning - Recurrent Neural Networks - Computer Vision - Object Detection - Image segmentation - Goedel Machine - Theory of everything - Algorithmic theory of everything -
t-SNE – Laurens van der Maaten
Stanford University CS224d: Deep Learning for Natural Language Processing
Machine Learning 10-701/15-781: Lectures
Word2vec Tutorial | RaRe Technologies
Machine learning |
How to read: Character level deep learning – Offbit
Generative Models
goodrahstar/python-machine-learning-book: The "Python Machine Learning" book code repository and info resource
A noob’s guide to implementing RNN-LSTM using Tensorflow — Medium
Structuring Your TensorFlow Models
Would You Survive the Titanic? A Guide to Machine Learning in Python - SocialCops Blog
Berkeley AI Materials
Hello, TensorFlow! - O'Reilly Media
Visualize Algorithms based on the Backpropagation — NeuPy
Talking Machines
Probability Cheatsheet
A Beginner's Guide To Understanding Convolutional Neural Networks – Adit Deshpande – CS Undergrad at UCLA ('19)
Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur | No Free Hunch
MNE — MNE 0.12.0 documentation
Alexandre Gramfort - Telecom ParisTech
Image Kernels explained visually
Introduction to Recurrent Networks in TensorFlow
The Ultimate List of TensorFlow Resources: Books, Tutorials & More - Hacker Lists
the morning paper | an interesting/influential/important paper from the world of CS every weekday morning, as selected by Adrian Colyer
The Ultimate List of TensorFlow Resources: Books, Tutorials & More - Hacker Lists
ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.
Nervana's Deep Learning Course - Nervana
CNN practical
What my deep model doesn't know... | Yarin Gal - Blog | Cambridge Machine Learning Group
TensorFlow Linear Model Tutorial
tensorflow/models · GitHub
An introduction to Generative Adversarial Networks (with code in TensorFlow) - AYLIEN
Neural Network Evolution Playground with Backprop NEAT | 大トロ
Teaching an AI to write Python code with Python code • Will cars dream?
GitHub - paarthneekhara/text-to-image: Tensorflow implementation of text to image synthesis using thought vectors
Learning TensorFlow
The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) – Adit Deshpande – CS Undergrad at UCLA ('19)
What is the Role of the Activation Function in a Neural Network?
Research paper categorization using machine learning and NLP
WaveNet: A Generative Model for Raw Audio | DeepMind
Backpropagation In Convolutional Neural Networks - DeepGrid
Urban Sound Classification
Model evaluation, model selection, and algorithm selection in machine learning - Part II
Data - Melbourne University AES/MathWorks/NIH Seizure Prediction | Kaggle
cchio/deep-pwning: Metasploit for machine learning.
First Contact With TensorFlow | Professor Jordi Torres | UPC & BSC-CNS | Barcelona
Industry // AETROS
alrojo/tensorflow-tutorial · GitHub
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow — Mourad Mourafiq
Python Programming Tutorials
Natural Language Processing and Voice Recognition Resources – Niaw de Leon
Deep Learning for Beginners
TensorFlow on Android - O'Reilly Media
TensorFlow for Mobile Poets « Pete Warden's blog
5 algorithms to train a neural network | Neural Designer
Hello DeepQ — koaning.io
How do Convolutional Neural Networks work?
Neural Network Architectures
Question-Answer Dataset
Image-to-Image Translation with Conditional Adversarial Networks
GitXiv: Collaborative Open Computer Science
Deep Learning Cheat Sheet
Introduction to Recurrent Networks in TensorFlow
DmitryUlyanov/neural-style-audio-tf · GitHub
goodrahstar/tensorflow-value-iteration-networks: TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
Recurrent Neural Network Tutorial for Artists | 大トロ
Eric Jang: Summary of NIPS 2016
GitHub - thtrieu/essence: AutoDiff DAG builder, built from scratch on top of numpy and C
Deep Text Correcter
GitHub - zhongwen/predictron: Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
The major advancements in Deep Learning in 2016 - Tryolabs Blog
Contact Me – the data science blog
Wikipedia Monolingual Corpora | linguatools
Tensorflow RNN-LSTM implementation to count number of set bits in a binary string
buriburisuri/speech-to-text-wavenet: Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
AudioSet
The amazing power of word vectors | the morning paper
Let’s Make A Bot That Applies To Jobs For Us With Python – Millennial Dave
goodrahstar/pytorch-tutorial: tutorial for researchers to learn deep learning with pytorch.
Overview - seq2seq
Baidu Deep Voice explained: Part 1 — the Inference Pipeline
Tensorflow demystified – gk_ – Medium
Transfer Learning - Machine Learning's Next Frontier
Deep Learning with Emojis (not Math) – tech-at-instacart
Anything2Vec, or How Word2Vec Conquered NLP – Yves Peirsman
Q/A System — Deep learning(2/2) – Becoming Human – Medium
A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN
Face recognition with Keras and OpenCV – Above Intelligent (AI)
A16Z AI Playbook
Neural Text Embeddings for Information Retrieval (WSDM 2017)
A list of artificial intelligence tools you can use today — for personal use (1/3)
Research Blog: The Machine Intelligence Behind Gboard
paraphrase-id-tensorflow/README.md at master · nelson-liu/paraphrase-id-tensorflow
NeuroNER/README.md at master · Franck-Dernoncourt/NeuroNER
Generative Adversarial Networks for Beginners - O'Reilly Media
Neural Translation of Musical Style
Deep-Learning-Papers-Reading-Roadmap/README.md at master · songrotek/Deep-Learning-Papers-Reading-Roadmap
AI Progress Measurement | Electronic Frontier Foundation
How to Visualize Your Recurrent Neural Network with Attention in Keras
Deep adversarial learning is finally ready and will radically change the game
Franck-Dernoncourt/NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Serving Tensorflow
How To Install and Use Docker on Ubuntu 16.04 | DigitalOcean
Jupyter + Tensorflow + Nvidia GPU + Docker + Google Compute Engine
TensorForce: A TensorFlow library for applied reinforcement learning - reinforce.io
Exploring LSTMs
Perform sentiment analysis with LSTMs, using TensorFlow - O'Reilly Media
Robust Adversarial Examples
Learning to Learn – The Berkeley Artificial Intelligence Research Blog
My Curated List of AI and Machine Learning Resources from Around the Web
goodrahstar/headlines: Automatically generate headlines to short articles
Deep Learning for NLP Best Practices
facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions
Q/A System — Deep learning(2/2) – Becoming Human
Contextual Chatbots with Tensorflow – Chatbots Magazine
Text-Clustering-API/CLAAS_public.py at master · vivekkalyanarangan30/Text-Clustering-API
tensorflow/nmt: TensorFlow Neural Machine Translation Tutorial
Cutting Edge Deep Learning for Coders—Launching Deep Learning Part 2 · fast.ai
facebookresearch/end-to-end-negotiator: Deal or No Deal? End-to-End Learning for Negotiation Dialogues
examples/main.py at master · pytorch/examples
BotCube/awesome-bots: A curated awesome list of resources from the bots/AI world by BotCube team. Join our newsletter to get five epic actionable bot tricks delivered to your inbox once a week! ? ❤️
Thushv » Word2Vec (Part 1): NLP With Deep Learning with Tensorflow (Skip-gram)
Tensorflow-Programs-and-Tutorials/Question Pair Classification with RNNs.ipynb at master · adeshpande3/Tensorflow-Programs-and-Tutorials
Intro Deep Learning for Chatbots, Part 2 | Open Data Science
Named Entity Recognition and the Road to Deep Learning
Building Convolutional Neural Networks with Tensorflow – Ahmet Taspinar
Visualising Activation Functions in Neural Networks - dashee87.github.io
Deep RL Bootcamp - Lectures
Tensorflow Text Classification - Python Deep Learning - Source Dexter
my-deity/COMPRESSION_CUM_CLASSIFICATION_v_2.ipynb at master · akanimax/my-deity
“TensorBoard - Visualize your learning.”
Cyborg Writer
Data For Everyone Library | CrowdFlower
loretoparisi/CapsNet: CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules"
TFX: A TensorFlow-based production scale machine learning platform | the morning paper
Flair of Machine Learning
Recurrent-Highway-Hypernetworks-NIPS/README.md at master · jsuarez5341/Recurrent-Highway-Hypernetworks-NIPS · GitHub
Using Artificial Intelligence to Augment Human Intelligence
Learning from Imbalanced Classes - Silicon Valley Data Science
Regular Expressions for Data Scientists
Google Developers Blog: Introducing TensorFlow Feature Columns
bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Gaussian Processes – EFavDB
Neural Smithing
Hooks Data says…
Introduction to Various Reinforcement Learning Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG)
Introduction to Python Ensembles
Data Science Summit 2018
facebookresearch/Detectron · GitHub
GitHub - openai/gradient-checkpointing: Make huge neural nets fit in memory
Deep-Learning/Skip-Grams-Solution.ipynb at master · priya-dwivedi/Deep-Learning · GitHub
Recurrent Neural Networks for Drawing Classification | TensorFlow
2017 news - Gwern.net
How neural networks are trained
GitHub - huseinzol05/Emotion-Classification-Comparison: Classification comparison between various models and learning on emotion datasets
mil-tokyo/webdnn: The Fastest DNN Running Framework on Web Browser
Beautiful.AI - AI Powered Presentations
Stanford DAWN Deep Learning Benchmark (DAWNBench) ·
Introduction to Learning to Trade with Reinforcement Learning – WildML
Play with Kubernetes
Deep Reinforcement Learning Doesn't Work Yet
Release 0.5.0 · PAIR-code/deeplearnjs · GitHub
Teaching RL
Introducing the Uber AI Residency
The Matrix Calculus You Need For Deep Learning
Have anything in mind that you think is awesome and would fit in this list? Feel free to send a pull request.
To the extent possible under law, Rahul Kumar has waived all copyright and related or neighboring rights to this work.