hojae-m-choi

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

pykan

Kolmogorov Arnold Networks

Ice

Powerful menu bar manager for macOS

RSPapers

A Curated List of Must-read Papers on Recommender System.

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

learn2learn

A PyTorch Library for Meta-learning Research

ml-system-design-pattern

System design patterns for machine learning

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

llm-reasoners

A library for advanced large language model reasoning

PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

backend.ai

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.

GraphKAN-Graph-Kolmogorov-Arnold-Networks

FoldFlow

FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation

grafog

Graph Data Augmentation Library for PyTorch Geometric

graph-pooling-papers

IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)

mlops-for-mle

mlops-project-template

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

dflow

Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows) employing Argo Workflows as the workflow engine.

PharmacoNet

Official Github for "PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling" (NeurIPS 2023 Workshop)

diffusion-conformer

Diffusion-based molecule conformer generation

tutorial

EquiPNAS

pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction

BridgITplus

Pocket2Mol_RL_public

Public repository of the paper <Fine-tuning Pocket-conditioned 3D Molecule Generation via Reinforcment Learning>