dengpingling's repositories
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
bgslibrary
A background subtraction library
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
CVPR2020-Code
CVPR 2020 论文开源项目合集
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deep-residual-networks
Deep Residual Learning for Image Recognition
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17个章节,20多万字。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
deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
eInkCalendarOfToxicSoul
毒鸡汤墨水屏日历
Fine_Grained_Classification
Fined grained classification On Car dataset
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
hello-algorithm
🌍「算法面试+算法知识」针对小白的算法训练 | 还包括:1、阿里、字节、滴滴 百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图 (右侧来个 star 吧 🌹,English version supported)
leetcode-master
LeetCode 刷题攻略:配思维导图,各个类型的经典题目刷题顺序、经典算法模板,以及详细图解和视频题解。这里精选的题目都不是孤立的,而是由浅入深一脉相承的,相信只要按照刷题攻略上的顺序来学习,一定会有所收获!给个star支持一下吧!
Low-Rank-Bilinear-Pooling
Fine-grained classification via second order statistics in a compact end-to-end trainable model
mini-caffe
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
novelty-detection
Latent space autoregression for novelty detection.
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
Vehicle-Car-detection-and-multilabel-classification
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize
wechat-app-mall
微信小程序商城,微信小程序微店