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-ml2021-

李宏毅ml2021作业

autocut

用文本编辑器剪视频

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-dynamic-point-cloud-analysis

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

codinginterviewsnotes

涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

geometric-deep-learning-grids-groups-graphs-geodesics-and-gauges

mall4cloud

⭐️⭐️⭐️微服务商城系统

mle-flashcards

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

openpoints

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

people-gait

毫米波步态数据集

pointnext

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

py-

123

python_interview_question

关于python的面试题

radhar

Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

supir

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

two-stream-pytorch

PyTorch implementation of two-stream networks for video action recognition