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ab_test_udacity

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

awesome-courses

:books: List of awesome university courses for learning Computer Science!

bacps

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

batchrl_covid19

causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

churn_rate_analysis

covid19_prediction

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-in-r

Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

deeppath

Classification of Lung cancer slide images using deep-learning

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

healthcare_ml

A curated list of ML|NLP resources for healthcare.

learnr

R walkthroughs

magenta

Magenta: Music and Art Generation with Machine Intelligence

megalearner

ml_ensemble_cancer_risk_prediction

notes

Course notes

pablogonzalezginestet.github.io

pocnn

A Convolutional Neural Network Approach to Survival Analysis using Pseudo-Observations

pytorch

pytorch-examples

Simple examples to introduce PyTorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

rl

An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018

stackbagg

It allows for all existing machine learning methods for classification to be applied to survival data.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial