janetwise's repositories

R2CNN_Faster-RCNN_Tensorflow

Rotational region detection based on Faster-RCNN.

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semisup_scarse

PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf

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MNN

MNN is a lightweight deep neural network inference engine.

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pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

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imgaug

Image augmentation for machine learning experiments.

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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

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pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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ncnn

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

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dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

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adanet

Fast and flexible AutoML with learning guarantees.

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CRNN_Tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

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text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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FOTS.PyTorch

FOTS Pytorch Implementation

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hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

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hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

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MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

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Tengine

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

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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python-machine-learning-book-3rd-edition

The "Python Machine Learning (3nd edition)" book code repository

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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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。

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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aster.pytorch

ASTER in Pytorch

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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