BangguWu

BangguWu's Stars

• jwasham/coding-interview-university

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

  296k8.7k43174.6k

• 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

  Language:JavaScript53.6k2.3k18715.8k

• PlexPt/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。

  51.1k3559213.5k

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML30.8k1k6810.5k

• 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

  Language:Python30.4k3118774.6k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python28.3k3718.2k9.3k

• WeNeedHome/SummaryOfLoanSuspension

  全国各省市停贷通知汇总

  Language:HTML20.4k32802.1k

• yidao620c/python3-cookbook

  《Python Cookbook》 3rd Edition Translation

  Language:Jupyter Notebook11.5k499973k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.2k43811k

• facebookresearch/moco

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

  Language:Python4.6k52131768

• wzhe06/Ad-papers

  Papers on Computational Advertising

  Language:Python4.1k34721.2k

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k87164841

• conanhujinming/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

  3.7k525348

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.6k6364990

• Jittor/jittor

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

  Language:Python3k63332303

• alibaba/euler

  A distributed graph deep learning framework.

  Language:C++2.9k140317559

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.7k5814406

• pengzhiliang/MAE-pytorch

  Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Python2.5k2496344

• facebookresearch/pycls

  Codebase for Image Classification Research, written in PyTorch.

  Language:Python2.1k6281237

• chengdazhi/Deformable-Convolution-V2-PyTorch

  Deformable ConvNets V2 (DCNv2) in PyTorch

  Language:Cuda1.4k2286227

• BangguWu/ECANet

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

  Language:Python1.2k1568197

• oeway/pytorch-deform-conv

  PyTorch implementation of Deformable Convolution

  Language:Python9082123151

• D-X-Y/NAS-Bench-201

  NAS-Bench-201 API and Instruction

  Language:Python624190116

• JDAI-CV/VeRidataset

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

  Language:MATLAB396131355

• ethanluoyc/pytorch-vae

  A Variational Autoencoder (VAE) implemented in PyTorch

  Language:Python39483107

• nibuiro/CondConv-pytorch

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

  Language:Python1522525

• Jakel21/vehicle-ReID-baseline

  vehicle re-identification baseline for veri and vehicleID dataset

  Language:Python13851245

• fly51fly/Principle_of_Web_Search_2020

  北邮《网络搜索原理》课程(2020)

  Language:Jupyter Notebook103619

• ZhangLi-CS/GCP_Optimization

  Language:Python27317