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Galux Inc
- Seoul, Dongjak-gu
Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Open source code for AlphaFold.
Automated cryptocurrency trading bot
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
all kinds of text classification models and more with deep learning
A resource for learning about Machine learning & Deep Learning
A library to generate LaTeX expression from Python code.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A minimalist environment for decision-making in autonomous driving
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Simple and easily configurable grid world environments for reinforcement learning
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Python Multi-Agent Reinforcement Learning framework
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Rainbow: Combining Improvements in Deep Reinforcement Learning
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released