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optimal-control-via-neural-networks

Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach

padim

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

padim-anomaly-detection-localization-master

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

pcanet

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

pcanet-cnn-torch

pcanet_plus

Deep Principal Component Analysis Networks

pgpr

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

powerful-gnns

How Powerful are Graph Neural Networks?

psogsa

FNN optimisation using PSOGSA algorithm

pythonskill

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

pytorch-esn

Echo State Network module for PyTorch.

pytorch-neat

A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm

pytorch-neat-1

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

pytorch_ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_geometric-1

recurrence-plot

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

rnn_pytorch

Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel

seal

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

seal_ogb

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

sed_eval

Evaluation toolbox for Sound Event Detection

self-supervised-embedding-fusion-transformer

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

ser-with-w2v2

Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'

skiprnn_pytorch

A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"

sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

solar-forecasting-rnn

Multi-time-horizon solar forecasting using recurrent neural network