cgh2797

cgh2797's Stars

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go98.6k5925k7.8k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k2452.5k3.3k

• lukas-blecher/LaTeX-OCR

  pix2tex: Using a ViT to convert images of equations into LaTeX code.

  Language:Python12.7k742711k

• AshwinRJ/Federated-Learning-PyTorch

  Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

  Language:Python1.3k936451

• AI-in-Health/MedLLMsPracticalGuide

  A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

  1.1k534105

• gnina/gnina

  A deep learning framework for molecular docking

  Language:C++63231215147

• SKT-AI/KoGPT2

  Korean GPT-2 pretrained cased (KoGPT2)

  532134498

• SKT-AI/KoBART

  Korean BART

  Language:Python447232194

• vaseline555/Federated-Learning-in-PyTorch

  Handy PyTorch implementation of Federated Learning (for your painless research)

  Language:Python41131990

• ASKCOS/ASKCOS

  Software package for computer aided synthesis planning

  Language:Python213142052

• facebookresearch/CPA

  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

  Language:Jupyter Notebook175141148

• OpenMined/courses

  A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discussion!

  167153873

• breadum/kiwoom

  키움 증권 OpenAPI 파이썬 심플 라이브러리

  Language:Python162122048

• soedinglab/CCMpred

  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.

  Language:C106133526

• kh-kim/nlp_with_pytorch_examples

  도서 내의 코드들을 모아 놓은 repo입니다.

  Language:Jupyter Notebook794142

• czodrowskilab/Machine-learning-meets-pKa

  Language:Jupyter Notebook715323

• ramshi236/Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks

  SCAFFOLD and FedAvg implementation

  Language:Python592310

• PatWalters/solubility

  An implementation of Delaney's ESOL method using the RDKit

  Language:Python544221

• alshedivat/fedpa

  Federated posterior averaging implemented in JAX

  Language:Jupyter Notebook492116

• cmap/lincs-workshop-2020

  CMap Notebooks for LINCS 2020 Workshop

  Language:Jupyter Notebook457120

• clinfo/SBMolGen

  Language:Python436411

• jaechanglim/GGM

  graph generative model for molecule

  Language:Python371210

• cheliu-computation/MERL-ICML2024

  Language:Python33225

• CooperComputationalCaucus/kuka_optimizer

  Bayesian optimization used for kuka workflow

  Language:Jupyter Notebook19239

• jyasonik/MoleculeMO

  Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting

  Language:Jupyter Notebook18008

• wsjeon92/FP2VEC

  Language:Python171411

• Guannan1900/GraphDTI

  Language:Python124

• SeongokRyu/LAIDD_GNN

  Language:Jupyter Notebook7309

• baeseongsu/KoSAIM2024-Clinical-LLM

  [KoSAIM 2024 Summer School] Fine-tuning a clinical domain Large Language Model

  Language:Jupyter Notebook6101

• hyokwan/llama_repository

  llama_repository

  Language:Jupyter Notebook49