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acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

alignedreid

Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification.

automl

Google Brain AutoML

awesome-edge-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-person-re-identification

Awesome person re-identification

awesome-person-re-identification-1

Awesome Person Re-Identification

awesome-reid-dataset

Collection of public available person re-identification datasets

awesome_video_person_reid

papers collection and understanding for video person re-identification

bag_of_tricks_cnn

The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

bevdepth

Official code for BEVDepth.

blog-back-up

博客相关文件存储

bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

cam

Class Activation Mapping

cavaface.pytorch

:beers: :rocket: :city_sunset: face recognition project(pytorch)

centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

cifar-zoo

PyTorch implementation of CNNs for CIFAR benchmark

circleloss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

codeinterview

剑指offer第二版 C++实现

createcoco

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

data

The scripts of data processing

dcgan-pytorch

PyTorch Implementation of DCGAN trained on the CelebA dataset.

dcgan-reid-pytorch

Using DCGAN to enhance Person-Reid's dataset

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，近30万字。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