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edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

generative-adversarial-networks

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

git_tut

github-slideshow

A robot powered training repository :robot:

gocv

Go package for computer vision using OpenCV 3+ and beyond.

hadron-collider-machine-learning

Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

hep-ml-resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

hep_ml

Machine Learning for High Energy Physics.

hepdrone

Collection of tools and algorithms to enable conversion of HEP ML to mass usage model

ibm_applied_ai

interviewbit-topicwise-solutions

The repository contains solutions to various problems on interviewbit. The code is merely a snippet (as solved on InterviewBit) & hence is not executable in a c++ compiler. The code written is purely original and completely my own.

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

kdsb17

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

leetcode-curation-topical

Tech interview prep list

machine-learning-flashcards

Machine learning flashcards

machinelearninganalysisinhighenergyphysics

Machine Learning implementation in a Phenomenological analysis in High Nergy Physics

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI

munit

Multimodal Unsupervised Image-to-Image Translation

nalu-pytorch

A PyTorch Implementation of "Neural Arithmetic Logic Units"

notes

pndc

[ 2017 Graduation Project ] - Pulmonary Nodule Detection & Classification implemented Tensorflow and Caffe1

practical_rl

A course in reinforcement learning in the wild

prml

PRML algorithms implemented in Python

python

All Algorithms implemented in Python

python-clustering-exercises

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

quantumkatas

Tutorials and programming exercises for learning Q# and quantum computing

reinforcement-learning

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

rl

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