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mmcv

OpenMMLab Computer Vision Foundation

mmdeploy

OpenMMLab Model Deployment Framework

mmdetection

Open MMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

munit-keras

A keras (tensorflow) reimplementation of MUNIT: Multimodal Unsupervised Image-to-Image Translation https://arxiv.org/abs/1804.04732

munit-tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)

mxnet-notebooks

Notebooks for MXNet

mxnet.cpp

CPP wrapper for MXNet interface

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

nlpdataset

记录本人整理的一些数据集

nmt

TensorFlow Neural Machine Translation Tutorial

opencc

Conversion between Traditional and Simplified Chinese

openlongtailrecognition-oltr

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

pan_pp.pytorch

Official implementations of PSENet, PAN and PAN++.

paper-reading

深度学习经典、新论文逐段精读

prml

PRML algorithms implemented in Python

ptgan

The code of PTGAN

pycodestyle

Simple Python style checker in one Python file

pyspider

A Powerful Spider(Web Crawler) System in Python.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-patterns

A collection of design patterns/idioms in Python

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

quality_analysis

resnest

ResNeSt: Split-Attention Network

scene-text-recognition-recommendations

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

straug

Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

tensorflow-eager-tutorials

Simple tutorials for building neural networks with TensorFlow Eager mode.