Yuejun-GUO

Yuejun-GUO's Stars

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python32.7k2715.7k5k

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.9k3365.8k2.8k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.7k2302733.2k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python26.5k1441.9k2.5k

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python22.9k1895242.3k

• microsoft/graphrag

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

  Language:Python21.1k1485722.1k

• google-deepmind/alphafold

  Open source code for AlphaFold 2.

  Language:Python13k2288682.3k

• google/magika

  Detect file content types with deep learning

  Language:Rust8.3k39446428

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7k73123791

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  7k3877550

• mistralai/mistral-finetune

  Language:Python2.8k4039239

• RosettaCommons/RFdiffusion

  Code for running RFdiffusion

  Language:Python1.9k43207360

• advboxes/AdvBox

  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

  Language:Jupyter Notebook1.4k5638265

• csurfer/rake-nltk

  Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

  Language:Python1.1k3243150

• rjust/defects4j

  A Database of Real Faults and an Experimental Infrastructure to Enable Controlled Experiments in Software Engineering Research

  Language:Perl76120391306

• GAIR-NLP/anole

  Anole: An Open, Autoregressive and Native Multimodal Models for Interleaved Image-Text Generation

  Language:Python700114536

• mistralai/mistral-common

  Language:Python661282169

• SeanLee97/AnglE

  Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

  Language:Python502105034

• salesforce/logai

  LogAI - An open-source library for log analytics and intelligence

  Language:Python467183368

• python-openapi/openapi-spec-validator

  OpenAPI Spec Validator is a CLI, pre-commit hook and python package that validates OpenAPI Specs against the OpenAPI 2.0 (aka Swagger), OpenAPI 3.0 and OpenAPI 3.1 specification.

  Language:Python3401011464

• lukasberglund/reversal_curse

  Language:Python2751821

• usnistgov/dioptra

  Test Software for the Characterization of AI Technologies

  Language:Python2311728035

• VulDetProject/ReVeal

  Language:Java19052464

• LogIntelligence/NeuralLog

  Log-based Anomaly Detection Without Log Parsing (ASE 2021, Research Track)

  Language:Python1134840

• ANSSI-FR/AnoMark

  Algorithme d'apprentissage statistique permettant de créer un modèle sur les lignes de commandes des évènements "Création de Processus", afin de détecter des anomalies dans les évènements futurs

  Language:Python79253

• netop-team/TeleQnA

  TeleQnA: A Benchmark dataset for evaluating telecommunications knowledge of large language models

  Language:Python443010

• ixalodecte/AI-Log-Analyzer

  Machine learning algorithms to detect anomalies in unstructured logs

  Language:Python301016

• AutomatedProgramRepair-2021/dear-auto-fix

  Language:Python292613

• victor369basu/ProteinStructurePrediction

  Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.

  Language:Python16104

• PACED-prov/Databank

  61