icycookies

icycookies's Stars

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.3k644

• baaivision/Emu

  Emu Series: Generative Multimodal Models from BAAI

  Language:Python1.7k86

• PharMolix/OpenBioMed

  Language:Python71382

• zjunlp/Mol-Instructions

  [ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

  Language:Python25316

• QizhiPei/BioT5

  BioT5 (EMNLP 2023) and BioT5+ (ACL 2024 Findings)

  Language:Python995

• ml-jku/clamp

  Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

  Language:Python936

• libChEBI/libChEBIpy

  libChEBIpy: a Python API for accessing the ChEBI database

  Language:Python214

• Ellenzzn/ChatMol

  Language:Python215

• llSourcell/Doctor-Dignity

  Doctor Dignity is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private.

  Language:Python3.9k404

• DeepGraphLearning/ProtST

  [ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts

  Language:Python897

• wuys13/Multi-Drug-Transfer-Learning

  Pre-clinical drug discovery faces the low efficiency dilemma. One of the reasons is the lack of cross-drug efficacy evaluation infrastructure at patient level. Here we propose Patient multiple drug learning(P-MDL) task, and construct the P-MDL dataset and model zoo. The best P-MDL model DSN-adv achieve SOTA in all of the 13 tumor types.

  Language:Jupyter Notebook141

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10k975

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.7k5.2k

• hjc18/sml_project

  Language:Python11

• zjunlp/OntoProtein

  [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

  Language:Python14522

• ddz16/MoMu

  The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".

  Language:Python215

• blender-nlp/MolT5

  Associated Repository for "Translation between Molecules and Natural Language"

  Language:Python16021

• chenfei-wu/TaskMatrix

  Language:Python34.6k3.3k

• mklimasz/TransE-PyTorch

  Implementation of TransE model in PyTorch.

  Language:Python15334

• thunlp/KV-PLM

  Source code for "A Deep-learning System Bridging Molecule Structure and Biomedical Text with Comprehension Comparable to Human Professionals"

  Language:Python8315

• deepchem/deepchem

  Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

  Language:Python5.6k1.7k

• yuyangw/MolCLR

  Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

  Language:Python25461

• thunlp/OpenPrompt

  An Open-Source Framework for Prompt-Learning.

  Language:Python4.4k454

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.2k

• icycookies/GFDRE

  A Framework Fusing Graph Neural Networks with Pre-trained Language Models for Document-Level Relation Extraction

  Language:Python1

• AIR-THU/DAIR-V2X

  Language:Python45367

• wzhouad/ATLOP

  Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

  Language:Python19739

• fenchri/edge-oriented-graph

  Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"

  Language:Python14617

• Co1lin/AIR-Server-Doc

  Server Usage Documentation of AIR

  193

• thunlp/DocRED

  Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

  Language:Python622112