A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Grakn Knowledge Graph Library (ML R&D)

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Data Science Using Python

https://arxiv.org/abs/1805.01104

Implementation of papers on Deep Seq2seq learning using Pytorch.

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Library to scrape and clean web pages to create massive datasets.

Julia on TPUs

Style transfer, deep learning, feature transform

Header-only library for using Keras models in C++.

Visual Relationship Detection

Notes taken from Google Machine Learning Course provided to public for practice & correction.

📚 Parameterize, execute, and analyze notebooks

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

Face Recognition Project on MXNet

Distributed Live Streaming with ZeroMQ, Flask and Socket Connection

Graph Convolutional Networks in PyTorch

Lingvo

Setup and manage header bidding advertising partners without writing code or confusing line items. Prebid.js is open source and free.

Simplified version of the Facebook Prophet model re-implemented in PyMC3

Created a deep learning algorithm to predict the price of an Airbnb listing only from a picture from the listing

Open source implementation of Adaptive Posterior Learning (ICLR 2019)

LaTeX source for the paper "On Evaluating Adversarial Robustness"

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

Data sets created for stories on The Pudding, open to the public.

Learning to Rank in TensorFlow

Really cheap Kubernetes cluster on AWS with kubeadm

a UI builder for React web apps