Supplementary code for the paper "Hyperbolic Image Embeddings".

"Multi-Level Intermediate Representation" Compiler Infrastructure

Software used for generating embeddings from large-scale graph-structured data.

Build an example image classifier using Google Open Images V4

iDesigner github page

Official PyTorch code for Curve-GCN (CVPR 2019)

🌋 A toolkit to quickly build apps with React, GraphQL & Meteor

🚀 The Node.js Framework highly focused on developer ergonomics, stability and confidence

ORM for TypeScript and JavaScript (ES7, ES6, ES5). Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platfo…

Off-the-shelf python package of tensorflow with CUDA support for Mac OS.

Deep learning tool to find brand logos in everyday pictures

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Course notes for CS228: Probabilistic Graphical Models.

Dozens of minimal operating systems to learn x86 system programming. Tested on Ubuntu 17.10 host and real hardware. Userland cheat at: https://github.com/cirosantilli/x86-assembly-cheat ARM baremet…

A fast, bloat-free, privacy-focused commenting platform

Recommender Systems

A curated list of MXNet examples, tutorials and blogs.

Mesh TensorFlow: Model Parallelism Made Easier

An open source library for face detection in images. The face detection speed can reach 1500FPS.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Geometric Deep Learning Extension Library for PyTorch

Codes for paper "Mask Scoring R-CNN".

Discover augmentation strategies tailored for your dataset

TF-Agents is a library for Reinforcement Learning in TensorFlow

A collection of infrastructure and tools for research in neural network interpretability.

Sample code for the Model-Based Machine Learning book.

Deep Learning with TensorFlow 2.X