HumbleBone's Stars
CyC2018/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
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
521xueweihan/HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
scutan90/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
huihut/interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
wangzheng0822/algo
数据结构和算法必知必会的50个代码实现
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
julycoding/The-Art-Of-Programming-By-July-2nd
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
aleju/imgaug
Image augmentation for machine learning experiments.
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
jackzhenguo/python-small-examples
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
dmlc/gluon-cv
Gluon CV Toolkit
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
clovaai/CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
facebookresearch/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
Paperspace/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
Miller-Xie/Code
面试高频算法题总结，个人博客
facebookresearch/FixRes
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
f8q8/tiku-xuexiqiangguo
学习强国题库--每日更新