300 Open source projects that are alternatives of or similar to pyMCR

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

A meta-analysis package for R

ChiantiPy is a python package to calculate the radiative properties of astrophysical plasmas based on the CHIANTI atomic database

TensorFlow implementation for "Guided Optical Flow Learning"

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Unsupervised Learning to Market Behavior Forecasting Example

official implemntation for "Contrastive Learning with Stronger Augmentations"

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R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data

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Awesome-Cross-Domain-Person-Re-identification

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

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Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Hyperspectral image processing library

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IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

[ICCV2021] Learning to Track Objects from Unlabeled Videos

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

Official adversarial mixup resynthesis repository

Caffe implementation for "Guided Optical Flow Learning"

Awesome Graph Self-Supervised Learning

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Deep Metric Transfer for Label Propagation with Limited Annotated Data

ACTIN is a Python program to calculate stellar activity indices

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Quantum simulations of nonlinear spectroscopy and dynamics for molecular aggregates

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

A Community Tool for Transiting Exoplanet Science with the JWST & HST

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'

Linguistica 5: Unsupervised Learning of Linguistic Structure

machine learning algorithms in Swift

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

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Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

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Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Implementing Clustering Algorithms from scratch in MATLAB and Python

Convolutional AutoEncoder application on MRI images

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.