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100-days-of-ml-code

100 Days of ML Coding

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

ailia-models

Pretrained models for ailia SDK

albumentations_examples

Augmentations usage examples for albumentations library

android-demo-app

PyTorch android examples of usage in applications

animal-matting

Github repository for the paper End-to-end Animal Image Matting

awesome-dl-projects

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

c-sharp

All algorithms implemented in C#.

chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

cnn

C++ inplementation of CNN(Cnnvolutional Neural Network) for image classification

cnn-architectures

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

course

高性能并行编程与优化 - 课件

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cplusplusthings

C++那些事

cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cv_interview

I hope this repo can help you a lot!

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deep-learning-for-image-processing

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

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

external-attention-pytorch

Pytorch implementation of various Attention Mechanism