ustcluq

flask-object-detection

Frontend and backend separated object detection demo build with Flask, TensorFlow.

PICK-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

LearnPaddle

PaddlePaddle V2版本系列教程，博客专栏：

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

Paddle2ONNX

ONNX Model Exporter for PaddlePaddle

awesome-ocr

A curated list of promising OCR resources

PaddleOCR-BM1684Demo

mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

MNN-APPLICATIONS

MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.

awesome-ncnn

😎 A Collection of Awesome NCNN-based Projects

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

PyTorch_Practice

这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Self2Self

Real-time-GesRec

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

deep_image_prior

Image reconstruction done with untrained neural networks.

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

PatchUp

Aggregation-Cross-Entropy

Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

transformer-xl

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)