Stars
Enjoy the magic of Diffusion models!
Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", Arxiv 2025.
[ECCV 2024] This is the official code for the paper "Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations"
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
FCOS: Fully Convolutional One-Stage Object Detection.
tensorflow GoogleNet inception V1 V2 V3 V4
Collection of recent methods on (deep) neural network compression and acceleration.
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)