GeniusYx

GeniusYx's Stars

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.3k98224947

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.1k15460797

• OpenBMB/ToolBench

  [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

  Language:Python4.8k49287400

• deepseek-ai/DeepSeek-V2

  DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

  3.5k2984143

• wdndev/llm_interview_note

  主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

  Language:HTML2.9k126334

• modelscope/modelscope-agent

  ModelScope-Agent: An agent framework connecting models in ModelScope with the world

  Language:Python2.6k37203302

• deepseek-ai/DeepSeek-Coder-V2

  DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

  2k2250100

• km1994/LLMs_interview_notes

  该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

  1.4k10199

• teadocs/pandas-cn

  Pandas中文文档，欢迎贡献！

  Language:JavaScript9232836307

• flatironinstitute/DeepFRI

  Deep functional residue identification

  Language:Python300104376

• hkmztrk/DeepDTA

  Language:Python2201044108

• thinng/GraphDTA

  GraphDTA: Predicting drug-target binding affinity with graph neural networks

  Language:Python21741877

• quchangle1/LLM-Tool-Survey

  This is the repository for the Tool Learning survey.

  203148

• masashitsubaki/QuantumDeepField_molecule

  Quantum deep field for molecule

  Language:Python2024443

• huangjia2019/llm-gpt

  异步图书 GPT图解 大模型是怎样构建的

  Language:Jupyter Notebook803224

• 595693085/DGraphDTA

  a novel DTA predition method using graph neural network

  Language:Python7011840

• isjakewong/MIRACLE

  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction

  Language:Python42258

• illidanlab/MoCL-DK

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

  Language:Python40369

• JoeYing1019/UltraTool

  [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios

  Language:Python36431

• ml4bio/CLEAR

  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis

  Language:Python30328

• jindi-tju/U-GCN

  Source code of "NeurIPS21 - Universal Graph Convolutional Networks"

  Language:Python19115

• xzenglab/TAGPPI

  Language:Python19286

• ciortanmadalina/contrastive-sc

  Language:Jupyter Notebook15316

• ShortVideoRecommendation/NGAT4Rec

  NGAT4Rec: Neighbor-Aware Graph Attention Network ForRecommendation

  Language:Python15226

• zhanglabNKU/LR-GNN

  Language:Python11213

• SimonLarsen/pdb_to_cm

  Compute protein contact map from PDB file.

  Language:Python10304

• yangxi1016/BioNet

  A Large-scale and Heterogeneous Biological Network Model for Interaction Prediction with Graph Convolution

  Language:Python10131

• haotangxjtu/MSCL

  code for Multisample-based Contrastive Loss for Top-k Recommendation (IEEE TMM)

  Language:Python9121

• IBM/API-BLEND

  Companion code to https://arxiv.org/abs/2402.15491

  Language:Python9

• hengwei-chan/AttentionDTA

  Language:Python30