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abstractive-summarization

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

allennlp

An open-source NLP research library, built on PyTorch.

convert_torch_to_pytorch

Convert torch t7 model to pytorch model and source.

deepsleep

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

hvit

imgclsmob

Sandbox for training convolutional networks for computer vision

keras-resnext

Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-image-models

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

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorchgeometrictutorial

Pytorch Geometric Tutorials

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

resnext-pytorch

resnext.pytorch

Reproduces ResNet-V3 with pytorch

seq2seq

Sequence to Sequence Learning with Keras

sequence-to-sequence-from-scratch

:speech_balloon: Sequence to Sequence from Scratch Using Pytorch

tutorials

PyTorch tutorials.

xception-pytorch

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions

zoph_rnn

C++/CUDA toolkit for training sequence and sequence-to-sequence models across multiple GPUs