Build a Jekyll blog in minutes, without touching the command line.

An open-source NLP research library, built on PyTorch.

Parallel computing with task scheduling

summary of ML papers I've read

Codebase for Image Classification Research, written in PyTorch.

NumPy-like API accelerated with CUDA

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The fastai deep learning library, plus lessons and and tutorials

📚 A Neural QA Model for DBpedia using Neural SPARQL Machines.

NumPy aware dynamic Python compiler using LLVM

A modern editor with a backend written in Rust.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Assignments for CS294-112.

Code for experiments regarding importance sampling for training neural networks