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A library of reinforcement learning components and agents
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Google Colaboratory Notebooks and Repositories
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch Reinforcement Learning Framework for Researchers
ACL'22: Structured Pruning Learns Compact and Accurate Models
PyTorch implementations of deep reinforcement learning algorithms and environments
Implementations from the free course Deep Reinforcement Learning with Tensorflow
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
The official repository of the Eesen project
End-to-End Speech Processing Toolkit
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A toolkit for reproducible reinforcement learning research
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python functions for reading kaldi data formats. Useful for rapid prototyping with python.
Learn regex the easy way
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Tools for handling speech data in machine learning projects.
Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具,可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等,并以曲线图的形式进行展现对比,轻松三步即可实现。
南京大学学位论文(本科/硕士/博士),毕业论文LaTeX模板
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
Otto makes machine learning an intuitive, natural language experience.🏆 Facebook AI Challenge winner
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
A quickstart and benchmark for pytorch distributed training.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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.