yunshengb

yunshengb's Stars

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python17.8k1124711.7k

• princeton-nlp/SWE-agent

  SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.

  Language:Python13.4k963741.3k

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k12830487

• zou-group/textgrad

  TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

  Language:Python1.6k2370136

• rahulnyk/knowledge_graph

  Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

  Language:Jupyter Notebook1.4k2317280

• evalplus/evalplus

  Rigourous evaluation of LLM-synthesized code - NeurIPS 2023

  Language:Python1.2k7180102

• bin123apple/AutoCoder

  We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.

  Language:Python797141269

• nnzhan/MTGNN

  Language:Python7971038222

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python7631342137

• TheAiSingularity/graphrag-local-ollama

  Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction

  Language:Python65793593

• rahulnyk/graph_maker

  Language:Jupyter Notebook3955546

• ds4dm/learn2branch

  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

  Language:Python3461421102

• rusty1s/deep-graph-matching-consensus

  Implementation of "Deep Graph Matching Consensus" in PyTorch

  Language:Python256102247

• NVlabs/verilog-eval

  Verilog evaluation benchmark for large language model

  Language:SystemVerilog1628422

• masashitsubaki/CPI_prediction

  This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.

  Language:Python16061936

• agiresearch/Formal-LLM

  Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

  Language:Python1045410

• muhaochen/seq_ppi

  This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN".

  Language:Python8641525

• AI-nstein/hoppity

  Hoppity

  Language:Python5862115

• xlang-ai/BRIGHT

  BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

  Language:Python44470

• codeKgu/BiLevel-Graph-Neural-Network

  Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop

  Language:Python28416

• UCLA-VAST/AutoDSE

  ACM TODAES Best Paper Award, 2022

  Language:Python24597

• UCLA-DM/HLSyn

  HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"

  Language:Python22000

• DerekQXu/GLSearch

  GLSearch: Maximum Common Subgraph Detection via Learning to Search

  Language:Python20256

• tsourakakis-lab/antibenford-subgraphs

  Language:Jupyter Notebook15315

• ZongyueQin/Graph-Hashing

  Language:Java15137

• Ahren09/CODER

  Official implementation of “Code Recommendation for Open Source Software Developers" at The Web Conference 2023 (WWW 2023).

  Language:Python14511

• UCLA-VAST/HARP

  ICCAD'23 Best Paper Award candidate: Robust GNN-based Representation Learning for HLS

  Language:LLVM9422

• GLADICOS/I2C

  A i2C APB CORE MASTER AND SLAVE ASIC IP

  Language:Verilog5202

• JHL-HUST/McSplit-RL

  A Learning based Branch and Bound for Maximum Common Subgraph related Problems

  Language:C++5204

• achieve-lab/assertion_data_for_LLM

  Language:Verilog41