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Yunnan University
- Shenzhen city, Guangdong province, China
Stars
deep learning for image processing including classification and object-detection etc.
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
A latent text-to-image diffusion model
Stable Diffusion web UI
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
YOLOv2のchainerの再現実装です(darknetのchainerローダと、完全なchainer上での訓練コードを含みます)
PyTorch ,ONNX and TensorRT implementation of YOLOv4
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
End-to-End Object Detection with Transformers
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
OpenMMLab Detection Toolbox and Benchmark
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
An Open Source Machine Learning Framework for Everyone
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Datasets, Transforms and Models specific to Computer Vision
[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"
Tensorflow implementation of YOLO, including training and test phase.