NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

Library of contextual bandits algorithms

A PyTorch implementation of "Combining Neural Networks with Personalized PageRank for Classification on Graphs" (ICLR 2019).

A curated list of awesome embedding models tutorials, projects and communities.

A C++ standalone library for machine learning

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.

Open Machine Learning Course

Free and Open Source UI Kit for Bootstrap 4, React, Vue.js, React Native and Sketch based on Google's Material Design

Code for the paper "Language Models are Unsupervised Multitask Learners"

Automatic differentiation + optimization

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

Sample cloud-native application with 10 microservices showcasing Kubernetes, Istio, gRPC and OpenCensus. Provided for illustration and demo purposes.

Open source implementation of "Spreading Vectors for Similarity Search"

A server-side component framework. What if your React components ran on the server-side?

🧠 Leon is your open-source personal assistant.

Buffer geometry merging, procedural terrains and shadow mapper research with Three.js

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Latex code for making neural networks diagrams

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Transfer Learning library for Deep Neural Networks.

Quasi-Recurrent Neural Network (QRNN) for Tensorflow

The Inter font family

Set of examples of ML approaches implemented in C++