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/sairajk/asia

[SIGGRAPH Asia 2025] "ASIA: Adaptive 3D Segmentation using Few Image Annotations ".

3d controlnet deep-learning few-shot few-shot-segmentation machine-learning mesh-segmentation segmentation stable-diffusion test-time-optimization

Last synced: 18 Apr 2026

https://github.com/onnx/ir-py

Efficient in-memory representation for ONNX, in Python

computation-graph intermediate-representation large-language-models machine-learning onnx

Last synced: 09 Feb 2026

https://github.com/bikatr7/kudasai

Streamlining Japanese-English Translation with Advanced Preprocessing and Integrated Translation Technologies

auto-translation chatgpt deepl gemini japanese-english japanese-english-translation japanese-translation machine-learning machine-translation nlp-preprocessing python spacy text-processing translation

Last synced: 21 Apr 2025

https://github.com/zziz/cart

Classification and Regression Trees (CART) in python from scratch.

artificial-intelligence classification machine-learning python3 regression tree

Last synced: 09 Jul 2025

https://github.com/prajnaavidya/prompt-shaper

PromptShaper is a templating language for efficiently constructing LLM prompts.

chatgpt cli gpt4 javascript llm machine-learning nodejs npm parsing shell templating typescript

Last synced: 12 Oct 2025

https://github.com/mainakrepositor/anemia-detector

Detects Anemia from the analysis of pixels of RBCs using machine learning

decsion-tree machine-learning pixels streamlit-webapp

Last synced: 03 Sep 2025

https://github.com/carpentries-incubator/ml4bio-workshop

Materials for a workshop introducing machine learning to biologists

alpha carpentries-incubator education english lesson machine-learning

Last synced: 02 Sep 2025

https://github.com/dnbaker/bioseq

Tokenizers and Machine Learning Models for biological sequence data

biological-sequences machine-learning tokenization transformers

Last synced: 19 Sep 2025

https://github.com/chiarorosa/ia_aprendizado_maquina_basico

Material Básico sobre Inteligência Artificial aplicando Aprendizado de Máquina e Data Science

artificial-intelligence data-science machine-learning python

Last synced: 26 Jul 2025

https://github.com/gagolews/teaching-data

Dr Marek's Data for Teaching/Training

data data-science data-wrangling datasets machine-learning

Last synced: 03 Jan 2026

https://github.com/hscspring/ALL4AI

AI Related Tools/Projects

ai jupyter linux machine-learning nlp python ssh toolbox

Last synced: 12 Apr 2025

https://github.com/vincentkoc/airgapped-offfline-rag

Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering, utilizing Llama 3, Mistral, and Gemini models with a user-friendly Streamlit interface.

chromadb docker hacktoberfest langchain llama llm machine-learning mistral offline privacy rag streamlit vector-database

Last synced: 07 May 2025

https://github.com/azaz9026/medicine-recommendation-system

A Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions

api data-preprocessing eda encoding flask machine-learning render-template sklearn-library statistics

Last synced: 10 Apr 2025

https://github.com/amine-smahi/mymaster

MyMaster is a combination of an android app and a web api that uses a classification algorithm to help students choosing the best master for their profile.

android classification-algorithm dotnet-core dotnetcore machine-learning mastersdegree skills

Last synced: 18 Mar 2025

https://github.com/ikegami-yukino/oll-python

Online machine learning algorithms (based on OLL C++ library)

alma binary-classification machine-learning online-learning perceptron

Last synced: 10 Jul 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/unitn-sml/pyconstruct

Python library for declarative, constrained, structured-output prediction.

constraint-programming jinja2 machine-learning minizinc structured-prediction

Last synced: 08 May 2025

https://github.com/ksdkamesh99/knn-visualiser

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.

artificial-intelligence bootstrap4 javascript knn-classifier knn-visualiser machine-learning ml5js p5js

Last synced: 12 May 2025

https://github.com/dermatologist/kedro-multimodal

Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.

healthcare jupyter kedro kubeflow machine-learning medical multi-modal pipeline vertex-ai

Last synced: 12 May 2025

https://github.com/parvvaresh/snappfood

sentiment analysis on Snapp!food users' comments using classical machine learning models and LSTM mdoels

css deeplearning docker flask html lstm machine-learning ml natural-language-processing nlp

Last synced: 23 Jun 2025

https://github.com/olafenwamoses/intellip

IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.

artificial-intelligence artificial-neural-networks imageai kivy machine-learning offline-capable playground python python3 resnet-50 windows

Last synced: 12 Apr 2025

https://github.com/xaheli/predicting-indian-stocks-price-with-stacked-lstm

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

activation-functions hidden-layers hyperparameter-optimization hyperparameter-tuning indian-stock-market lstm lstm-neural-networks machine-learning optimisation stock-price-prediction

Last synced: 12 Jul 2025

https://github.com/aayank13/ml4e

ML4E - Learn and master machine learning effortlessly with a comprehensive platform designed for collaboration and growth.

community machine-learning swoc swoc2025 website

Last synced: 12 May 2025

https://github.com/joisino/gnnrecover

Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)

deep-learning embeddings gnn graph-neural-networks machine-learning node-embeddings pytorch

Last synced: 11 Jul 2025

https://github.com/earth-artificial-intelligence/earth_ai_book_materials

The repo contains the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.

data-science earth-science machine-learning python

Last synced: 08 May 2025

https://github.com/pyRiemann/pyRiemann-qiskit

A library for machine learning and quantum programming based on pyRiemann and Qiskit projects

covariance-matrix machine-learning python qiskit quantum-computing riemannian-geometry

Last synced: 09 May 2025

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/chandlerbang/pytorch-gnn-meta-attack

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.

adversarial-attacks deep-learning graph-mining graph-neural-networks machine-learning pytorch

Last synced: 08 Apr 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/engineeringsoftware/roosterize

Tool for suggesting lemma names in Coq verification projects

coq deep-learning machine-learning mathcomp name-generation neural-networks pytorch serapi

Last synced: 21 Feb 2026

https://github.com/thomas-bouvier/music-genre-recognition

Musical genre recognition using a CNN

cnn machine-learning music-classification

Last synced: 14 Aug 2025

https://github.com/314arhaam/burger-pinn

A Physics-Informed Neural Network for solving Burgers' equation.

burgers-equation deep-learning machine-learning neural-network physics-informed-neural-networks

Last synced: 08 Jun 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/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/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/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/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/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/hassaku/ds-and-ml-with-screen-reader

Data science and machine learning resources for screen reader users

colaboratory data-science machine-learning python screen-reader visually-impaired

Last synced: 01 Nov 2025

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/datarmada/minotor

Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.

data-monitoring explainable-ai machine-learning machine-learning-explainability machine-learning-library machine-learning-production monitoring monitoring-tool observability production-ai production-engineering

Last synced: 30 Oct 2025

https://github.com/maciejkula/binge

Recommendation models that use binary rather than floating point operations at prediction time.

deep-learning learning-to-rank machine-learning matrix-factorization recommender

Last synced: 14 Jul 2025

https://github.com/borchero/pyblaze

Large-Scale Machine and Deep Learning in PyTorch.

deep-learning machine-learning pytorch

Last synced: 01 May 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/PapayaResearch/ctag

Creative Text-to-Audio Generation via Synthesizer Programming @ ICML'24

generative-ai jax machine-learning synthesizer text-to-audio

Last synced: 07 May 2025

https://github.com/ruedigervoigt/exoskeleton

A Python framework to build polite, but tenacious crawlers / scrapers with a MariaDB backend

crawler crawling-framework database machine-learning mariadb network python python-3 scraping

Last synced: 13 Apr 2025

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/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/gabeorlanski/stackoverflow-encourages-cheating

Code for the NLP4Prog workshop paper "Reading StackOverflow Encourages Cheating: Adding Question TextImproves Extractive Code Generation"

acl2021 machine-learning natural-language-processing nlp nlp4prog python

Last synced: 22 Sep 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/prashant0598/face-recognition

Face Recognition Project made in Machine Learning using KNN algorithm and open cv for python

face-detection knn-classification machine-learning

Last synced: 16 Jun 2025

https://github.com/cuixuage/machine_learning

Deep Learning and Reinforcement Learning 学习资料

deep-learning machine-learning reinforcement-learning

Last synced: 02 May 2025

https://github.com/mainakrepositor/lung-cancer-detection

Detection and Prediction of Lung Cancer

lungs-cancer machine-learning

Last synced: 02 May 2025

https://github.com/adamvvu/tsfracdiff

Efficient and easy to use fractional differentiation transformations for stationarizing time series data in Python.

data-science machine-learning python quantitative-finance

Last synced: 01 May 2025

https://github.com/priyamakeshwari/teachgpt

An AI Powered teacher that can help you learn your topics faster before exam

ai hacktoberfest hacktoberfest2023 llm machine-learning nlp python

Last synced: 29 Sep 2025

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

Generate text with recurrent neural nets

lstm machine-learning

Last synced: 02 May 2025

https://github.com/uber-research/vargp

Variational Auto-Regressive Gaussian Processes for Continual Learning

continual-learning gaussian-processes machine-learning

Last synced: 11 Apr 2025

https://github.com/akshaybabloo/spikes

A Spiking Neural Network encoder for time series data

machine-learning neural-networks spike-encoders spiking-neural-networks

Last synced: 15 Jun 2025

https://github.com/braun-steven/simple-einet

An implementation of EinsumNetworks in PyTorch.

deep-learning einsum machine-learning sum-product-networks

Last synced: 30 Apr 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/spaceml-org/missing-pixel-filler

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

aqua arxiv deep-learning keras machine-learning python remote-sensing satellite-imagery swath-gaps tensorflow terra uc-mercer-land uc-mercer-visualization

Last synced: 08 Jan 2026

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/graphcore-research/jax-experimental

JAX for Graphcore IPU (experimental)

ai deep-learning graphcore ipu jax machine-learning

Last synced: 17 Jan 2026

https://github.com/hollance/sefr-swift

The SEFR classifier implemented in Swift

classifier machine-learning machine-learning-algorithms swift

Last synced: 25 Mar 2025

https://github.com/fangwei123456/pixelunshuffle-pytorch

PixelUnshuffle, inverse operation of PixelShuffle

computer-vision machine-learning pytorch super-resolution

Last synced: 14 Apr 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/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/levnikmyskin/that_metric_timeline

That Metric Timeline (TMT) is a Python library aimed at the machine/deep learning practitioner/researcher. It helps tracking experiments, saving code, metrics and results

deep-learning machine-learning python utility-library

Last synced: 14 Jan 2026

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/scienxlab/redflag

Safety net for machine learning pipelines. Plays nice with sklearn and pandas.

data-quality data-quality-checks data-science machine-learning numpy pandas python

Last synced: 06 Oct 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/orehga/babewatch

Laravel Application using Machine Learning to ensure a 👶🏾 is secure

laravel machine-learning php

Last synced: 15 Jul 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/pyriemann/pyriemann-qiskit

A library for machine learning and quantum programming based on pyRiemann and Qiskit projects

covariance-matrix machine-learning python qiskit quantum-computing riemannian-geometry

Last synced: 10 Mar 2026