husterrc Goto Github PK

3d-point-clouds

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

adaptive-highlight

adversarial-frcnn-master

基于GAN的目标检测

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

android-training-course-in-chinese

Google Android官方培训课程中文版

ant-learn-python-concurrent

Python并发编程专题

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-diffusion-categorized

collection of diffusion model papers categorized by their subareas

awesome-lane-detection

lane detection

awesome-ocr

papers about ocr

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-video-text-retrieval

A curated list of deep learning resources for video-text retrieval.

blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

bsn-boundary-sensitive-network.pytorch

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

c3d

pytorch

c3d-pytorch

Pytorch porting of C3D network, with Sports1M weights

captainblackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

cascade-rcnn_pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

consistency_models

Official repo for consistency models.

convolutional-pose-machines-pytorch

Pytroch version of Convolutional Pose Machines

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

deblurgan

Image Deblurring using Generative Adversarial Networks

deblurring-by-realistic-blurring

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

designpattern

Design pattern demo code