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ai-feynman

approachingalmost

Approaching (Almost) Any Machine Learning Problem

bayesiannn

Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification

deep-symbolic-optimization

Source code for deep symbolic optimization.

deep_svdd_vae_tf

Unofficial implementation of 2021 Neurocomputing paper "VAE-based Deep SVDD for anomaly detection" TensorFlow 2.0 version

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

electronbot

gabornet

gotflow3d

group-sparsity-aware-cnn

For data recovery of Structural Health Monitoring

learn-to-estimate-fluid-motion

[ICML 2022] Learning to Estimate and Refine Fluid Motion with Physical Dynamics

local_global_ts_representation

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

mwcnnv2

Multi-level Wavelet Convolutional Neural Networks

neural_decomposition

Neural Decomposition Code for Time Series

neural_decomposition-1

Neaural Decomposition (ND)

neuraldecomposition

PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"

prml

PRML algorithms implemented in Python

prml-1

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

prmlt

Matlab code of machine learning algorithms in book PRML

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

redunet_paper

Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

saits

The official code repository for paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for multivariate time-series imputation.

som_dagmm

Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection

soundstream

This repository is an implementation of this article: https://arxiv.org/pdf/2107.03312.pdf

sparse-coding

An implementation of Olshausen and Field (96) in PyTorch

statistical_shm

Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis

strega

transfill-reference-inpainting

This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR'21. According to some product reasons, we are not planning to release the training/testing codes and models. However, we will release the dataset and the scripts to prepare the dataset.

transplant

Transplant is an easy way of calling Matlab from Python