An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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

Code for CVPR 19 Paper "Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing"

A faster pytorch implementation of faster r-cnn

Code for our CVPR 2018 paper "Learning Latent Super-Events to Detect Multiple Activities in Videos"

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

A3C LSTM Atari with Pytorch plus A3G design

Datasets, Transforms and Models specific to Computer Vision

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

The goal of this experiment is to take articles and certain metadata and group them by topic.

Recurrent Neural Network library for Torch7's nn

Sample Android App

https://torch.ch

This is an Assignment designed for the CS 8803 Advanced Software Engineering Course at Georgia Tech

Example of using Express to create a RESTful API with Node.js

Example of using Jersey with Guice and Jackson to create RESTful APIs with Java

The Deep Convolutional Inverse Graphics Network

Demos and tutorials around Torch7.

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

Supporting code/presentation/data for the Intro to Topic Modeling presentation