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angel

A Flexible and Powerful Parameter Server for large-scale machine learning

botorch

Bayesian optimization in PyTorch

cifar10-fast

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

eventextractionpapers

A list of NLP resources focused on event extraction task

examples

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

flowscope

Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.

hello-world

hello world

jtft

A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting

ml-agents

Unity Machine Learning Agents Toolkit

modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

namsg

ARSG: an efficient first-order adaptive method for training neural networks

over9000

Over9000 optimizer

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ranger-deep-learning-optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

vrx

Virtual RobotX (VRX) resources.