EYH0602

EYH0602's Stars

• deepseek-ai/DeepSeek-V3

  Language:Python85.5k67438913.7k

• deepseek-ai/DeepSeek-R1

  76.9k55234710k

• github/semantic

  Parsing, analyzing, and comparing source code across many languages

  Language:Haskell9k425273452

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.7k68188359

• block/goose

  an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

  Language:Rust8.2k49215538

• xorbitsai/inference

  Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

  Language:Python6.4k471.6k523

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5.3k48554432

• lark-parser/lark

  Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

  Language:Python5.1k58931426

• SamuelSchmidgall/AgentLaboratory

  Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

  Language:Python3.5k3046480

• princeton-nlp/SimCSE

  [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

  Language:Python3.5k28274520

• landing-ai/vision-agent

  Vision agent

  Language:Python2.8k3425323

• AutoCodeRoverSG/auto-code-rover

  A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7.

  Language:Python2.8k3052308

• gem5/gem5

  The official repository for the gem5 computer-system architecture simulator.

  Language:C++1.8k703721.3k

• AIDC-AI/Marco-o1

  An Open Large Reasoning Model for Real-World Solutions

  Language:Python1.4k202275

• AnswerDotAI/ModernBERT

  Bringing BERT into modernity via both architecture changes and scaling

  Language:Python1.2k257880

• zeldaret/tp

  Decompilation of The Legend of Zelda: Twilight Princess (GCN, USA)

  Language:C++906231.5k91

• randoop/randoop

  Automatic test generation for Java

  Language:Java55222291176

• fuzzuf/fuzzuf

  Fuzzing Unification Framework

  Language:C++37191623

• zeldaret/tww

  Decompilation of The Legend of Zelda: The Wind Waker

  Language:C++3491545351

• SheltonLiu-N/AutoDAN

  [ICLR 2024] The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".

  Language:Python29051946

• zhengyanzhao1997/NLP-model

  Language:Python27751879

• neulab/code-bert-score

  CodeBERTScore: an automatic metric for code generation, based on BERTScore

  Language:Jupyter Notebook1825715

• PeiweiHu/DeGPT

  (NDSS 2024) Optimizing Decompiler Output with LLM

  Language:Python945210

• NASP-THU/ProphetFuzz

  [CCS'24] An LLM-based, fully automated fuzzing tool for option combination testing.

  Language:Roff639

• soarsmu/attack-pretrain-models-of-code

  Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022

  Language:Python431610

• ZJU-ACES-ISE/chatunitest-core

  A framework to generate unit tests using LLMs

  Language:Java30347

• ncoop57/function_parser

  Fork of the awesome function_parser library from Github's CodeSearchNet Challenge repo: https://github.com/github/CodeSearchNet/tree/master/function_parser

  Language:Python282614

• galsang/SG-BERT

  Official Implementation for "Self-Gudied Contrastive Learning for BERT Sentence Representations (ACL 2021)"

  Language:Python27923

• LLM4SoftwareTesting/TestEval

  Language:Python16193

• facebookresearch/testgeneval

  TestGenEval A Real World Unit Test Generation and Test Completion Benchmark

  Language:Python73