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autograd

Efficiently computes derivatives of numpy code.

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

cnn-lstm-ctc-text-recognition

CNN and LSTM model for text recognition

cornernet

deeptextspotter

easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

last_caffe_with_stn

Spatial Transformer Networks

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

mxnet-cnn-lstm-ctc-ocr

This repo contains code written by MXNet for ocr tasks, which uses an cnn-lstm-ctc architecture to do text recognition.

ocr_chargen

用于OCR的字符样本生成工具 A tools can generate samples for OCR trainning.

pytorch-rnn-mnist

spatial-transformer-tensorflow

Tensorflow Implementation of Spatial Transformer Networks

spatialtransformerlayer

stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

stn_cnn_lstm_ctc_tensorflow

use STN+CNN+BLSTM+CTC to do OCR

trafficlightsdetection

using SSD and caffe detect traffic lights on LISA dataset

tsr-torch

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch