BangguWu

coding-interview-university

A complete computer science study plan to become a software engineer.

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

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

mmdetection

OpenMMLab Detection Toolbox and Benchmark

SummaryOfLoanSuspension

全国各省市停贷通知汇总

python3-cookbook

《Python Cookbook》 3rd Edition Translation

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Ad-papers

Papers on Computational Advertising

darts

Differentiable architecture search for convolutional and recurrent networks

tips_for_interview

我的一些面试心得；自学CS历程分享；找工作求职经验分享

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

euler

A distributed graph deep learning framework.

DeepClustering

Methods and Implements of Deep Clustering

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

pycls

Codebase for Image Classification Research, written in PyTorch.

Deformable-Convolution-V2-PyTorch

Deformable ConvNets V2 (DCNv2) in PyTorch

ECANet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

pytorch-deform-conv

PyTorch implementation of Deformable Convolution

NAS-Bench-201

NAS-Bench-201 API and Instruction

VeRidataset

This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance.

pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

CondConv-pytorch

unofficial implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

vehicle-ReID-baseline

vehicle re-identification baseline for veri and vehicleID dataset

Principle_of_Web_Search_2020

北邮《网络搜索原理》课程(2020)

GCP_Optimization