Repository Index

:sunglasses: A curated list of robotics libraries and software

• robotics-libraries
• multibody-dynamics
• simulation
• robotics

The Rubinius Language Platform

• rubinius
• programming-languages
• virtual-machine

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

• machine-learning
• statistics
• data-science
• data-analysis

Shōgun

• machine-learning
• data-science
• artificial-intelligence
• swig

StellarGraph - Machine Learning on Graphs

• graphs
• machine-learning
• machine-learning-algorithms
• graph-convolutional-networks

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

A well tested and comprehensive Golang statistics library package with no dependencies.

• statistics
• data
• stats
• machine-learning

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

• artificial-intelligence
• data
• data-analysis
• data-science

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

• machine-learning
• scikit-learn
• statistical-learning
• xgboost

List of articles related to deep learning applied to music

• awesome
• awesome-list
• unicorns
• list

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

• pytorch
• graph-neural-networks
• temporal-networks
• temporal-graphs

Data manipulation and transformation for audio signal processing, powered by PyTorch

• audio
• python
• io
• speech

A curated list of awesome anomaly detection resources

• awesome-anomaly-detection
• awesome
• anomaly-detection
• anomalydetection

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

• ai
• fairness-ai
• fairness
• fairness-testing

Our Guillotine Menu Transitioning Animation implemented in Swift reminds a bit of a notorious killing machine.

• ios
• swift
• animation
• protocol

POT : Python Optimal Transport

• optimal-transport
• numerical-optimization
• machine-learning
• emd

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

• deep-learning
• speech
• speech-recognition
• speech-to-text

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Gaining advanced insights from Git repository history.

• git-analysis
• machine-learning
• tensorflow
• git

WebAssembly Virtual Machine

Algorithms for explaining machine learning models

• machine-learning
• explanations
• interpretability
• counterfactual

xlsx generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx excels at helping you generate beautiful Office Open XML Spreadsheet documents without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

• data-science
• python
• dag
• data-engineering

Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android

• android
• antivirus
• machine-learning
• malware-detection