Samples code for world class Artificial Intelligence SoCs for computer vision applications.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

LLM inference in C/C++

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

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.

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Ultralytics YOLO11 🚀

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

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A Clash GUI based on tauri. Supports Windows, macOS and Linux.

[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

RepVGG: Making VGG-style ConvNets Great Again

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Segment Anything Labelling Tool

Simple static web-based mask drawer, supporting semantic segmentation and video segmentation with interactive Segment Anything Model 2 (SAM2).

Code for the Lovász-Softmax loss (CVPR 2018)

💤 A modern plugin manager for Neovim

Efficient vision foundation models for high-resolution generation and perception.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

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