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Galux Inc
- Seoul, Dongjak-gu
Stars
Structural implementation of RL key algorithms
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
Solving Rubik's Cube with Deep Reinforcement Learning, A* and visualize with PyQt5.
Crawl a site to generate knowledge files to create your own custom GPT from a URL
A generative model for programmable protein design
Diffusion-based all-atom protein generative model.
An unofficial re-implementation of DiffAb, a diffusion-based generative model for antigen-specific antibody design and optimization.
A library to generate LaTeX expression from Python code.
The Pytorch Tutorial of Score-based and Diffusion Model
A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.
Diffusion models of protein structure; trigonometry and attention are all you need!
an efficient distributed PyTorch framework
Use UCSF Chimera Python API in a standard interpreter
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
Protein hallucination and inpainting with RoseTTAFold
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Implementation of Axial attention - attending to multi-dimensional data efficiently
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"