Sunnydreamrain / IndRNN_pytorchLinks
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
☆138Updated 4 years ago
Alternatives and similar repositories for IndRNN_pytorch
Users that are interested in IndRNN_pytorch are comparing it to the libraries listed below
Sorting:
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- PredNet implementation using PyTorch☆60Updated 8 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- Unofficial PyTorch implementation of E3D-LSTM☆128Updated 6 years ago
- convolutional lstm implementation in pytorch☆158Updated 8 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 5 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018☆134Updated 4 years ago
- PyTorch implementation of Convolutional Recurrent Neural Network☆135Updated 2 years ago
- A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.☆29Updated 6 years ago
- A modified version of Spatial Transformer Networks to attend regions on the input image.☆45Updated 2 years ago
- Convolution GRU cell in PyTorch☆54Updated 3 years ago
- ☆295Updated 8 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- This code is to implement the IndRNN.☆69Updated 6 years ago
- PyTorch implementations for "Generating Visual Explanations" (GVE) and "Long-term Recurrent Convolutional Networks" (LRCN)☆91Updated 2 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆47Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Simple C3D (3D convolutional Network) in Pytorch☆52Updated 8 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- Convolutional Gated Recurrent Units implemented in PyTorch☆203Updated 7 years ago
- ☆100Updated 5 years ago
- This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch☆220Updated 5 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf☆40Updated 7 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- Common Video Prediction Architectures☆16Updated 7 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Updated 5 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago