XiYuan68's Stars
mzolfaghari/ECO-efficient-video-understanding
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
VinF/deer
DEEp Reinforcement learning framework
machenslab/dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
yhatt/marp
The site of classic Markdown presentation writer app
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
coosh-ed/Gated-CNN-s-Using-Keras
A Python class that implements a Gated CNN using Keras with TensorFlow backend.
yangperasd/gated_cnn
Keras implementation of “Gated Linear Unit ”
lsdefine/attention-is-all-you-need-keras
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
datalogue/keras-attention
Visualizing RNNs using the attention mechanism
titu1994/Keras-IndRNN
Implementation of IndRNN in Keras
DwangoMediaVillage/keras_compressor
Model Compression CLI Tool for Keras.
philipperemy/keras-attention
Keras Attention Layer (Luong and Bahdanau scores).
Tuyki/TT_RNN
hunkim/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
fferroni/PhasedLSTM-Keras
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
farizrahman4u/recurrentshop
Framework for building complex recurrent neural networks with Keras
farizrahman4u/seq2seq
Sequence to Sequence Learning with Keras
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.