An open API service indexing awesome lists of open source software.

Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

https://github.com/pradyuman7/colour-learning

A simple machine learning webpage that understands & changes the text 🌈 according to the background.

artificial-intelligence changing-colorschemes colours javascript machine-learning neural-network rgb-color webpage website

Last synced: 17 Mar 2026

https://github.com/dhruvdcoder/wandb-allennlp

Utilities and boilerplate code to use wandb with allennlp

allennlp deep-learning machine-learning sweep wandb

Last synced: 11 Sep 2025

https://github.com/hoangsonww/moodify-emotion-music-app

🎹 Moodify - an emotion-based music recommendation system that uses AI/ML models to analyze text, speech, and facial expressions, providing personalized music recommendations across web and mobile platforms.

artificial-intelligence django django-rest-framework emotion fullstack-development hadoop kubernetes machine-learning mobile-development mongodb music python pytorch react-native reactjs redis restful-api spark tensorflow torch

Last synced: 23 Apr 2025

https://github.com/CarterMcClellan/supercontrast-legacy

Find the best ML model for your use case | Y Combinator Fall 2024

ai aws aws-sdk azure gcp machine-learning ycombinator

Last synced: 22 Mar 2025

https://github.com/sbl-sdsc/mmtf-spark

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

apache-spark big-data machine-learning protein-data-bank protein-ligand-interactions protein-protein-interaction protein-sequences protein-structure scientific-computing

Last synced: 12 Apr 2025

https://github.com/sametcopur/obliquetree

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

decision-tree explainable-ai machine-learning oblique-decision-tree

Last synced: 31 Oct 2025

https://github.com/neonwatty/bleep-that-shit

Automatically filter, censor, and replace profanity, swear words, curse words, or custom terms in audio and video with a beep or bleep sound effect. Built to self-host with Python, AI, Streamlit, and Docker. Free and open source.

artificial-intelligence audio-processing machine-learning python self-hosted youtube

Last synced: 18 Oct 2025

https://github.com/eth-sri/dp-sniper

A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.

differential-privacy machine-learning

Last synced: 06 Oct 2025

https://github.com/amanpriyanshu/fedpaq-mnist-implemenation

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

deep-learning edge-computing federated-learning machine-learning periodic-averaging quantization

Last synced: 06 Oct 2025

https://github.com/etsi-ai/etsi-watchdog

Real-time data drift detection and monitoring for machine learning pipelines.

drift-detection machine-learning python

Last synced: 10 Oct 2025

https://github.com/lfoppiano/grobid-superconductors

Grobid module for superconductor material and properties extraction

crf grobid machine-learning physics superconductors

Last synced: 18 Jan 2026

https://github.com/farzinkh/partial_discharge

This repository maintain codes and logs for "Partial Discharge Localization in Power Transformer Tanks Using Machine Learning Methods" article.

3d-models article deep-learning machine-learning partial-discharge-localization signal-processing transfer-learning

Last synced: 01 May 2025

https://github.com/aqibsaeed/occupancy-detection

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

machine-learning occupancy-detection time-series tpot

Last synced: 07 May 2025

https://github.com/code2k13/rpipico_digit_classification

Identification of handwritten digit from images taken by a  OV7670 camera module connected to a Raspberry Pi Pico and a 120x160 TFT LCD display. The Pi Pico running CircuitPython handles everything from image acquisition to post-processing and inference. This code is somewhat experimental, but it is fun to play with. For more information, please visit the project's webpage.

artificial-intelligence camera circuitpython edge-computing edge-machine-learning image-recognition machine-learning ov7670 python raspberry-pi-pico rp2040 scikitlearn-machine-learning st7735r tft-display

Last synced: 29 Aug 2025

https://github.com/mr-easy/badminton-stroke-classification

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

badminton-stroke-classification data-analysis data-analytics data-science deep-learning machine-learning model-evaluation notebook project time-series-analysis tutorial

Last synced: 31 Aug 2025

https://github.com/lightonai/opu-benchmarks

ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.

hardware-acceleration machine-learning photonic-computing

Last synced: 26 Aug 2025

https://github.com/federicohyo/lstm-ecg

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

ecg lstm-ecg lstm-neural-networks machine-learning recurrent-neural-network

Last synced: 14 Aug 2025

https://github.com/bobld/yolov3mlnet

Use the YOLO v3 (ONNX) model for object detection in C# using ML.Net

computer-vision csharp dotnet machine-learning ml ml-net neural-network object-detection onnx onnx-torch python yolo yolov3

Last synced: 16 Aug 2025

https://github.com/adi-code22/trawell-app

your Smart travel buddy, powered by AI. A tourist guide which aids in easy navigation, communication and guidance throughout the journey.

flutter location-services machine-learning

Last synced: 30 Aug 2025

https://github.com/getspams/spams-python

Python interface for SPAMS (SPArse Modeling Software)

machine-learning optimization python

Last synced: 16 Jan 2026

https://github.com/longxingtan/python-profeld

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

data-science machine-learning predictive-maintenance profeld remaining-useful-life survival-analysis tensorflow time-to-event time-to-failure weibull-distribution

Last synced: 17 Sep 2025

https://github.com/sukanyabag/covid19-detection-using-x-rays-webapp

In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.

convolutional-neural-networks covid-19 deep-learning flask-application kaggle-dataset keras-tensorflow machine-learning

Last synced: 24 Apr 2025

https://github.com/ikivanc/data-driven-cycling-and-workout-prediction

Data-Driven Cycling using Strava data and GPX data analysis. Digital Personal Trainer using old cycling workout data to predict new workouts

botframework chatbot csharp cycling cycling-workouts data-science digital-assistant fastapi gpx-files jupyter-notebook machine-learning machine-learning-algorithms microsoft-teams python strava strava-data

Last synced: 31 Jul 2025

https://github.com/buabaj/xplore

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

artificial-intelligence data-preprocessing data-science data-wrangling machine-learning

Last synced: 12 Apr 2025

https://github.com/jh-jeong/smoothmix

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

adversarial-defense deep-learning machine-learning neurips-2021 paper randomized-smoothing robustness

Last synced: 15 Aug 2025

https://github.com/neonwatty/control-notes

Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning

automatic-control deep-learning dynamic-programming dynamic-systems jupyter-notebook machine-learning python recurrent-neural-networks reinforcement-learning

Last synced: 18 Mar 2025

https://github.com/andrefcruz/bias-detection

Detection of propaganda or partisan allegiance in natural text.

bias-detection fairness hyperpartisan-news machine-learning propaganda pytorch

Last synced: 21 Aug 2025

https://github.com/databio/geniml

Genomic interval machine learning

genomic-intervals machine-learning representation-learning

Last synced: 17 Jan 2026

https://github.com/iterative/example-repos-dev

Source code and generator scripts for example DVC projects

bash dvc example machine-learning open-source

Last synced: 10 Mar 2026

https://github.com/beiyuouo/fedhf

🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

distributed-machine-learning federated-learning federated-learning-framework fedhf machine-learning python

Last synced: 19 Apr 2025

https://github.com/szilard/gbm-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting

Last synced: 06 Mar 2025

https://github.com/code-kern-ai/embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.

classification machine-learning named-entity-recognition natural-language-processing ner nlp python representation-learning similarity-search

Last synced: 24 Apr 2025

https://github.com/dennishnf/unsupervised-anomaly-detection

This repository describes the implementation of an unsupervised anomaly detector using the Anomalib library.

anomaly-detection artificial-intelligence computer-vision deep-learning machine-learning neural-networks object-detection python torch

Last synced: 14 Jul 2025

https://github.com/unixpickle/char-rnn

Generate text with recurrent neural nets

lstm machine-learning

Last synced: 02 May 2025

https://github.com/minzhang-1/PointHop

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

3d-classification classification feedforward machine-learning point-cloud

Last synced: 20 Mar 2025

https://github.com/qainsights/streamlit-jmeter

Powering up Apache JMeter with Streamlit and opening the door for machine learning.

jmeter jmeter-charts jmeter-streamlit machine-learning python streamlit

Last synced: 05 May 2025

https://github.com/ai-infra-curriculum/ai-infra-performance-learning

AI Infrastructure Performance Engineer Learning Track - GPU optimization, inference optimization, and cost reduction

advanced ai-infrastructure cost-optimization curriculum gpu-optimization inference learning machine-learning performance profiling tensorrt

Last synced: 10 Jun 2026

https://github.com/firefly-cpp/sport-activities-features

A minimalistic toolbox for extracting features from sports activity files written in Python

data-mining machine-learning sport-analytics tcx-parser

Last synced: 14 Feb 2026

https://github.com/agiflow/agiflow-sdks

LLM QA, Observability, Evaluation and User Feedback

agents llm-agent llm-evaluation llmops llms machine-learning python typescript

Last synced: 02 Mar 2026

https://github.com/niyiyu/pnw-ml

A ML-ready curated data set for a wide range of seismic signals from Pacific Northwest

dataset machine-learning seismology

Last synced: 25 Oct 2025

https://github.com/dgac/acropole

This repository contains the Acropole model for aircraft fuel flow prediction and Python packages for aircraft trajectory processing and fuel flow enhancement.

air-traffic-management aircraft-performance artificial-intelligence environment machine-learning

Last synced: 16 Mar 2026

https://github.com/primaprashant/ai-customer-support

📚 Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.

ai applied-data-science applied-machine-learning applied-ml artificial-intelligence customer-service customer-support data-science deep-learning machine-learning natural-language-processing nlp paper production tech-blog

Last synced: 10 Feb 2026

https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn

Last synced: 08 Oct 2025

https://github.com/allisterb/classifybot

Automate building ML classification pipelines in .NET

data-engineering dotnet machine-learning

Last synced: 11 Apr 2025

https://github.com/albumentations-team/albucore

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

albumentations artificial-intelligence automation computer-vision data-augmentation deep-learning efficiency high-performance-computing image-augmentation image-processing machine-learning neural-networks opencv performance-optimization python

Last synced: 16 Jun 2025

https://github.com/rodneyosodo/variational-quantum-classifier-on-heartattack

Implement variational quantum classifier on heart attack data available on kaggle with the aim to understand different variational models and different feature maps

machine-learning qiskit quantum-computing quantum-machine-learning

Last synced: 19 Mar 2025

https://github.com/anjohan/neuralnetwork

Simple, parallel, object-oriented Fortran neural network

coarray-fortran fortran machine-learning neural-network

Last synced: 07 Feb 2026

https://github.com/simonblanke/optimization-tutorial

Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

gradient-free-optimization hyperactive hyperparameter-optimization machine-learning optimization tutorial visualization

Last synced: 05 May 2025

https://github.com/lanl/pydnmfk

Python Distributed Non Negative Matrix Factorization with custom clustering

cupy distributed-computing hpc latent-features machine-learning mpi4py nccl nonnegative-matrix-factorization outofmemory python tensorfactorization

Last synced: 12 Apr 2025

https://github.com/amikos-tech/chromadb-data-pipes

ChromaDB Data Pipes 🖇️ - The easiest way to get data into and out of ChromaDB

ai chromadb machine-learning ml mlops pipeline

Last synced: 01 Apr 2026

https://github.com/gaelfoppolo/coreml-flowers

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

coreml coreml-framework coremltools flowers ios machine-learning swift

Last synced: 11 Apr 2025

https://github.com/trainindata/forecasting-with-machine-learning

Code repository for the course "Forecasting with Machine Learning Models"

forecasting machine-learning time-series

Last synced: 17 Jan 2026

https://github.com/bminixhofer/gerpt2

German small and large versions of GPT2.

common-crawl german gpt2 language-model machine-learning nlp

Last synced: 21 Mar 2025

https://github.com/thinklab-sjtu/hardsatgen

[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

combinatorial-optimization generative-model graph-neural-networks machine-learning satisfiability

Last synced: 20 Aug 2025

https://github.com/danielfrg/demucs-app

Use DEMUCS to split songs into multiple sources

demucs docker js machine-learning music react

Last synced: 17 Mar 2025

https://github.com/rubydamodar/the-ultimate-pandas-bootcamp

Welcome to the Pandas for Data Science repository! This course is designed to take you from beginner to proficient in using Pandas, the powerful data manipulation library in Python. Whether you're just starting your data science journey or looking to sharpen your skills, this repository contains all the resources

beginner-friendly csv-data data-analysis data-cleaning data-manipulation data-science data-visualization dataframe exploratory-data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python python-pandas series statistical-analysis time-series titanic-dataset

Last synced: 19 Apr 2025

https://github.com/lucko515/search-book-by-cover-server

This is the main repository for the Book Search project. This engine allows you to search database of books by simply uploading an image of a cover.

content-based-image-retrieval deep-learning end-to-end-machine-learning flask machine-learning tensorflow

Last synced: 14 Apr 2025

https://github.com/marian-nmt/sotastream

A library for data streaming and augmentation

data-augmentation data-streaming machine-learning pretraining

Last synced: 29 Jul 2025

https://github.com/mhw32/rubric-sampling-public

PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).

deep-learning education machine-learning programming zero-shot-learning

Last synced: 14 Apr 2025

https://github.com/getcontrol/kyc-tensorflow

Consume custom TensorFlow model to automate KYC

flask jupyter-notebook machine-learning python3 tensorflow tensorflow-examples

Last synced: 23 Apr 2025

https://github.com/rishit-dagli/glu

An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.

activation-functions artificial-intelligence deep-learning glu keras machine-learning neural-network python tensorflow transformers

Last synced: 05 May 2025

https://github.com/hand10ryo/pytorchcml

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

collaborative-filtering implicit-feedback machine-learning metric-learning python pytorch recommender-system

Last synced: 12 Apr 2025

https://github.com/kotlinnlp/neuralparser

NeuralParser is a very simple to use dependency parser, based on the Latent Syntactic Structure encoding.

dependency-parser kotlinnlp machine-learning natural-language-processing

Last synced: 14 Jan 2026

https://github.com/52fhy/deep-learning-platforms

deep-learning platforms,framework,data(深度学习平台、框架、资料)

brainstorm caffe chainer deep-learning di-x machine-learning neural-network paddlepaddle tensorflow torch

Last synced: 01 May 2025

https://github.com/polywock/text2gender

Predict the author's gender from their text.

gender-classification machine-learning neural-network text-classification

Last synced: 12 Mar 2026

https://github.com/alexisbalayre/uk-resume-llm

Resume Insight: Fine-Tuning LLM for Resume Analysis

fine-tuning llm machine-learning nlp

Last synced: 19 Apr 2025

https://github.com/tomzx/machine-learning-concept-map

The Machine Learning Concept Map is my attempt at reconstructing all the internal knowledge I've acquired about machine learning over the years.

concept-map machine-learning

Last synced: 11 Jan 2026