A deep learning framework for high-throughput mechanism-driven phenotype screening

Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

An official implementation of "Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning" in PyTorch. (ICCV 2023)

A list of free LLM inference resources accessible via API.

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

Open source code for AAAI 2023 Paper "BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning"

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge

Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23

Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".

A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

A Unified Language Model to Integrate Biomedical Text with 2D and 3D Molecular Representations

Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

This repository contains the ZairaChem models built on the ADMET datasets from Therapeutics Data Commons

This repository contains the benchmarking of ZairaChem using the Therapeutics Data Commons Datasets

ET-Tox

Transformer based SMILES to IUPAC Translator

Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives”

Drug Discovery: Predicting Molecular Activity with Deep Learning

This repository contains the code of the downstream task (molecule property prediction) in the paper "Natural Language-informed Understanding of Molecule Graphs”

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

This repository contains the code of the downstream task (molecule caption) in the paper "Natural Language-informed Understanding of Molecule Graphs”

Repository for AAAI 2024 paper "MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts"

Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".