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🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
An index of algorithms for offline reinforcement learning (offline-rl)
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
[AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
A Deep Learning based project for colorizing and restoring old images (and video!)
The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
Mastering Diverse Domains through World Models
提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
ExORL: Exploratory Data for Offline Reinforcement Learning
The fastai book, published as Jupyter Notebooks
Transformer related optimization, including BERT, GPT
Vectorization techniques for fast population-based training.
Fixed point package for Python.
Generative Flow Networks
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
Easy Hypernetworks in Pytorch and Jax
Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
Package for working with hypernetworks in PyTorch.
Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
A collection of RL baselines in Jax.
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
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.