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Trading with recurrent actor-critic reinforcement learning
Adaptive Attention Span in Transformers
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
The author's officially unofficial PyTorch BigGAN implementation.
Python, Machine Learning, Deep Learning and Data Science Books
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Model interpretability and understanding for PyTorch
Reproducible and fast DL & RL.
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
A framework for Privacy Preserving Machine Learning
This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
deephack
Learning deep representations by mutual information estimation and maximization
This repository contains implementations and illustrative code to accompany DeepMind publications
Modularized Implementation of Deep RL Algorithms in PyTorch
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.