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A PyTorch implementation of the Transformer model in "Attention is All You Need".

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Faster RCNN with PyTorch

This is a fast caffe implementation of ShuffleNet.

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

An open autonomous driving platform

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

Classification with PyTorch.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Tiny Gradient Boosting Tree

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

learning cmake

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

中文 Python 笔记

🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images

R-FCN with joint training and python support

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine le…

Code for Densely Connected Convolutional Networks (DenseNet)

OHEM support for Fast R-CNN

header only, dependency-free deep learning framework in C++11

Convolutional Neural Networks