22strongestme

22strongestme's Stars

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python60.2k4701.3k13.2k

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python44k8996345.2k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.4k2k264.5k

• microsoft/JARVIS

  JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

  Language:Python23.6k3821782k

• openvinotoolkit/anomalib

  An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

  Language:Python3.7k38885654

• shouxieai/tensorRT_Pro

  C++ library based on tensorrt integration

  Language:C++2.6k34215546

• vietanhdev/anylabeling

  Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

  Language:Python2.3k21127239

• dvlab-research/LISA

  Project Page for "LISA: Reasoning Segmentation via Large Language Model"

  Language:Python1.8k11143127

• cvlab-columbia/viper

  Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

  Language:Jupyter Notebook1.7k8947116

• caoyunkang/Segment-Any-Anomaly

  Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

  Language:Jupyter Notebook718103275

• aim-uofa/Matcher

  [ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

  Language:Python425282926

• G-U-N/Gen-L-Video

  The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

  Language:Jupyter Notebook279172633

• aosokin/os2d

  OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

  Language:Jupyter Notebook194105338

• BAAI-DCAI/SpatialBot

  The official repo for "SpatialBot: Precise Spatial Understanding with Vision Language Models.

  Language:Python1344139

• camille-vanhoffelen/langchain-huggingGPT

  Langchain implementation of HuggingGPT

  Language:Python123236

• M-3LAB/open-iad

  Image anomaly detection benchmark in industrial manufacturing

  Language:Python1033412

• caoyunkang/GPT4V-for-Generic-Anomaly-Detection

  [Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.

  102336

• kevin-ssy/CLIP_as_RNN

  Official Implementation for CVPR 2024 paper: CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor

  951573

• caoyunkang/AdaCLIP

  [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

  Language:Python813110

• pipixin321/HolmesVAD

  Official implementation of "Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM"

  Language:Python684122

• Xiaohao-Xu/SLAM-under-Perturbation

  official code for Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

  Language:C++40111

• pipixin321/HR-Pro

  Official implementation of HR-Pro(AAAI2024)

  Language:Python26151

• 22strongestme/LOCO-Annotations

  The LOCO-Annotations dataset is a specialized extension of the MVTec LOCO dataset, focusing on detecting and analyzing high-level semantic logical anomalies in industrial settings. This dataset provides detailed annotations designed to evaluate and improve logical anomaly detection methods.

  12120

• eyecan-ai/eyecandies

  Language:Python11230

• moonlightleaf/mudong-rpc

  基于C++20的JSON-RPC 2.0实现

  Language:C++6

• areylng/SPADE-MVTEC-LOCO-AD-dataset

  Using SPADE for anomaly detection on MVTEC LOCO AD dataset

  Language:Python5101

• moonlightleaf/moonlightleaf.github.io

  Language:HTML310

• moonlightleaf/mudong-ev

  基于C++20开发的多线程网络库

  Language:C++3

• moonlightleaf/mudong-json

  基于C++17开发的JSON解析/生成器

  Language:C++3