Avicill-echo's Stars
opencv/opencv
Open Source Computer Vision Library
jaywcjlove/linux-command
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
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Sierkinhane/CRNN_Chinese_Characters_Rec
(CRNN) Chinese Characters Recognition.
SachaIZADI/Seven-Segment-OCR
Computer vision project to automatically recognize digits characters in a seven-segments display
arturaugusto/display_ocr
Real-time image preprocess and OCR.
yas-sim/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
yas-sim/object-tracking-line-crossing-area-intrusion
Deep learning based object tracking with line crossing and area intrusion detection
ultralytics/ultralytics
Ultralytics YOLO11 🚀
zetane/viewer
ML models and internal tensors 3D visualizer
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
z1069614715/objectdetection_script
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
IDEA-Research/detrex
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
facebookresearch/detr
End-to-End Object Detection with Transformers
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
mlfoundations/open_clip
An open source implementation of CLIP.
erdengk/gsoc-analyse
帮助新手参与开源
erdengk/excellent-interview
收集优秀的面经/面试视频
erdengk/notes
huawei-noah/Pretrained-IPT
NeonLeexiang/EDSR
Super Resolution方面的一个论文复现,这次的Markdown写的很漂亮
Sadisticheaven/SuperRestoration
SRCNN and FSRCNN
feedarchive/libera-feedbot-live
Live posts of FeedBot on Libera.Chat
faebstn96/trainable-bilateral-filter-source
This is our implementation of a trainable bilateral filter layer (PyTorch)
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
jleuschn/learned_ct_reco_comparison_paper
Code and supplementing material for the Article "Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications"
SSinyu/RED-CNN
Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
SSinyu/WGAN-VGG
Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
martinarjovsky/WassersteinGAN