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accimage

high performance image loading and augmenting routines mimicking PIL.Image interface

affordance-net

AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018

albumentations

fast image augmentation library and easy to use wrapper around other libraries

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithm_kafka

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

anime-downloader

A simple but powerful anime downloader and streamer.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

attention

some attention implements

attention-ocr

Visual Attention based OCR

augmentor

Image augmentation library in Python for machine learning.

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-object-detection

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

awesome-scene-text-recognition

A curated list of resources dedicated to scene text localization and recognition

bilibili_video_download

:rainbow:Bilibili_video_download-B站视频下载

binarization_2017

blueoil

Bring Deep Learning to small devices

box_discretization_network

Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019)

c4-real-time-pedestrian-detection

Real-Time Human Detection Using Contour Cues

caffe

add CTCLoss, CTCDecoder, Transpose and ProposalLayer (CPU and GPU version)

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

caffe-instance-normalization-and-guided-instance-normalization

caffe implement

caffe-lmdbcreation-multilabel

Creation of LMDB for training a multi-label loss in Caffe

caffe-lstm

LSTM implementation on Caffe

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-multi-label

The caffe version support Multi-Label

caffe-python-tutorial

A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune and compress Net.

caffe-tools

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.