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action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

activitynet-2016-cvprw

Tools to participate in the ActivityNet Challenge 2016

adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

adversarial-autoencoder-1

A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.

adversarial_autoencoder

Implementation of Adversarial Autoencoder with Theano

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

alstms

Codes for paper of "Attention-based LSTM with Semantic Consistency for Videos Captioning "

arctic-capgen-vid

automatic video description generation with GPU training

awesome-pytorch-list

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

awesome-super-resolution

Collect super-resolution related papers, data, repositories

awesome-wechat-weapp

微信小程序开发资源汇总 :100:

axial-attention

Implementation of Axial attention - attending to multi-dimensional data efficiently

banet

Pytorch implementation of Hierarchical Boundary-Aware Neural Encoder for Video Captioning. The C3D part is implemented but not work well.

basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, etc. Also support StyleGAN2, DFDNet.

beginwithconvlstm

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

c3d-keras

C3D for Keras + TensorFlow

c3d-keras-1

train C3D with keras for action recognition

cfa

charades-algorithms

Activity Recognition Algorithms for the Charades Dataset

climate-learn

Source code for ClimateLearn

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

convlstm

Spatio-temporal video autoencoder with convolutional LSTMs

convolution_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

cst_captioning

PyTorch Implementation of Consensus-based Sequence Training for Video Captioning

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

darts

A python library for easy manipulation and forecasting of time series.

data_assimilation

MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19

datasets

Datasets for deep learning with satellite & aerial imagery

dcgan-autoencoder