tarv33

tarv33's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++66.3k5493.9k9.5k

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python43.4k4449.3k7.7k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python30.1k2185472.7k

• lizongying/my-tv

  我的电视 电视直播软件，安装即可使用

  Language:C29.9k2088973.4k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python28k2356713.5k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python25.5k2004.1k5.3k

• shengcaishizhan/kkndme_tianya

  天涯 kkndme 神贴聊房价

  18.7k243753.8k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12.2k272112778

• ggerganov/ggml

  Tensor library for machine learning

  Language:C++11k1284101k

• karpathy/micrograd

  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

  Language:Jupyter Notebook10.2k149301.5k

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

  Language:Python9.7k49406935

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.6k90365744

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python8.9k555311.4k

• progschj/ThreadPool

  A simple C++11 Thread Pool implementation

  Language:C++7.9k225842.2k

• XavierXiao/Dreambooth-Stable-Diffusion

  Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

  Language:Jupyter Notebook7.6k91148792

• OSGeo/gdal

  GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

  Language:C++4.8k1643.8k2.5k

• ChaoningZhang/MobileSAM

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

  Language:Jupyter Notebook4.7k43125487

• deepseek-ai/DeepSeek-V2

  DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

  3.5k2984147

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k10013352

• ModelTC/lightllm

  LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

  Language:Python2.5k23180198

• Smorodov/Multitarget-tracker

  Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

  Language:C++2.2k118200650

• bshoshany/thread-pool

  BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library

  Language:C++2.1k36114249

• HazyResearch/ThunderKittens

  Tile primitives for speedy kernels

  Language:Cuda1.5k242659

• ZrrSkywalker/Personalize-SAM

  Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

  Language:Python1.5k2745101

• Ruixxxx/Awesome-Vision-Mamba-Models

  [Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges

  45610131

• cure-lab/SmoothNet

  [ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"

  Language:Python348105737

• naginoa/LLMs_interview_notes

  LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

  2910095

• WenmuZhou/TableGeneration

  通过浏览器渲染生成表格图像

  Language:Python19651840

• amusi/awesome-image-stitching

  详尽地介绍关于图像拼接的知识点

  89509

• AlexanderSobolev1990/lap

  Linear assignment problem solving using Jonker Volgenant Castanon method (JVC), Mack and Hungarian(Munkres) method.

  Language:C++9110