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Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
https://github.com/goodrahstar/my-awesome-AI-bookmarks

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Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

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# My Artificial Intelligence Bookmarks  [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.



## 🎉🎉🎉 Purchase updated list here --> [AI Bookmarks](https://aibookmarks.carrd.co/)



## 2018-2019

- 


 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  



## 2015 - 2018 



- 


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

-