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tianbaochou's Projects

caffe icon caffe

Caffe on both Linux and Windows

crnn.pytorch icon crnn.pytorch

PyTorch implementation of CRNN to do Image Text Recognition using nn.CTCLoss

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dropblock icon dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

fastnlp icon fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

mask_rcnn icon mask_rcnn

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

megengine icon megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的数值计算框架

mirnet icon mirnet

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

mlpack icon mlpack

mlpack: a scalable C++ machine learning library --

nni icon nni

An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.

pnn.pytorch.update icon pnn.pytorch.update

This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Michael Klachko’s repo with slight modification in model.py and main.py. All changes are marked.

prml icon prml

PRML algorithms implemented in Python

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-srresnet icon pytorch-srresnet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

rbpn-pytorch icon rbpn-pytorch

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

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