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json2yolo

Convert JSON datasets into YOLO (darknet) format.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

learnopencv

Learn OpenCV : C++ and Python Examples

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

ocrcn_tf2

TensorFlow2.0的中文汉字手写体识别！OCR必备，欢迎star！

paddleocr

基于飞桨的OCR工具库，包含总模型仅8.6M的超轻量级中文OCR，单模型支持中英文数字组合识别、竖排文本识别、长文本识别。同时支持多种文本检测、文本识别的训练算法。

paddleslim

PaddleSlim is an open-source library for deep model compression and architecture search.

py-r-fcn

R-FCN with joint training and python support

pytorch-caffe-darknet-convert

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

rl4j

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

sparse-autoencoder

stargan-v2

StarGAN v2 - Official PyTorch Implementation

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-101

learn code with tensorflow

tensorflow-for-jetson-tx2

Tensorflow for Jetson TX2

tensorflow-mnist-vae

Tensorflow implementation of variational auto-encoder for MNIST

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tensorflow-yolov3

pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorflow_models_learning

tensorflow GoogleNet inception V1 V2 V3 V4

tensorflow_stacked_denoising_autoencoder

Implementation of the stacked denoising autoencoder in Tensorflow

tessdata

Trained models with support for legacy and LSTM OCR engine

train_arch

vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

ugatit

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation