vis4lan

vis4lan's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++66.3k5473.9k9.5k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.1k3056635.6k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.7k3733165.8k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.4k2184602.9k

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.6k1524692.2k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.5k1495262.4k

• cocktailpeanut/dalai

  The simplest way to run LLaMA on your local machine

  Language:CSS13.1k1493811.4k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.9k27047938

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.7k43125489

• DLLXW/baby-llama2-chinese

  用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

  Language:Python2.5k1775307

• microsoft/Cream

  This is a collection of our NAS and Vision Transformer work.

  Language:Python1.7k34156225

• wannabeOG/Mask-RCNN

  A PyTorch implementation of the architecture of Mask RCNN

  Language:Python9922321180

• DennisLiu1993/Fastest_Image_Pattern_Matching

  C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"

  Language:C++8232356200

• xionghonglin/DoctorGLM

  基于ChatGLM-6B的中文问诊模型

  Language:Python769153284

• GrumpyZhou/image-matching-toolbox

  This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

  Language:Jupyter Notebook526164777

• ydhongHIT/DDRNet

  The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

  Language:Python40564953

• alibaba/git-repo-go

  git-repo is a command-line tool for centralized workflow, can work with Gerrit, AGit-Flow compatible servers. It is written in Golang, and it can be installed easily without further dependency. It provides an easy-to-use solution for multiple repositories which is introduced by Android repo first, and it can also work with a single repository.

  Language:Shell268113560

• rediscovery-io/remo-python

  :rabbit: Python lib for remo - the app for annotations and images management in Computer Vision

  Language:Python1867825

• core-power/Chinese_Chat_T5_Base

  中文聊天小模型，用t5 base在大量数据上有监督。

  Language:Python944515

• PH8411/image-matching

  Superpoint and Superglue training and testing code, also some traditional method (SIFT and ORB)

  643610

• sisuolv/CVPR--Image-Matching-Challenge-2022--Gold-Medal

  https://www.kaggle.com/competitions/image-matching-challenge-2022

  Language:Jupyter Notebook541009

• whoisraibolt/Feature-Detection-and-Description

  Feature Detection and Description with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK using Python and OpenCV

  Language:Jupyter Notebook45109

• continental/image-statistics-matching

  Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation

  Language:Python41527

• linchaobao/EPPM

  CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.

  Language:Cuda363211

• qiaoyu1002/Personalize-SAM

  MobileSAM already integrated into Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

  Language:Python34001

• aotumanbiu/Pytorch-Mask-RCNN

  根据Pytorch官方教程实现 Mask-RCNN，其 backbone为ResNet50+FPN。现在完成了对于示例数据集的训练，后续会继续修改，实现其他的功能。

  Language:Python28121

• kenanking/ImageMatch

  数字摄影测量影像相关系数匹配和最小二乘匹配

  Language:C++24107

• axruff/cuda-flow2d

  2D Optical flow using NVIDIA CUDA

  Language:C++16152

• dzungvpham/lucas_kanade_cuda

  A C CUDA implementation of the Lucas Kanade Optical Flow Algorithm

  Language:C12101

• Tonson2912/registration_CUDA

  本项目基于matlab的dftregistration函数。主要用于解决由于外部因素导致的图像错位，帮助其进行矫正。提供CUDA版本和C++版本

  Language:Cuda410