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/imputr/imputr

Python library for easy and fast ML-based & conventional imputation techniques.

machine-learning pandas python

Last synced: 26 Apr 2026

https://github.com/anilkumarteegala/wqu-ds-unit-2

This repo contains all the files material releated to WorldQuant University's Data Science Summer 2020 Session Unit 2: Machine Learning and Statistical Analysis

data-science machine-learning statistical-analysis wqu

Last synced: 02 Mar 2026

https://github.com/luxedo/calcumlator

An intelligently dumb calculator that uses machine learning

calculations calculator machine-learning machine-learning-algorithms microservice regression-models

Last synced: 14 Apr 2025

https://github.com/juliaml/stochasticoptimization.jl

Implementations of stochastic optimization algorithms and solvers

julialang machine-learning optimization

Last synced: 05 Oct 2025

https://github.com/evilfreelancer/impruver

A set of scripts and configurations for pretraining of Large Language Models (LLM)

accelerate ddp gpt2 llama llm machine-learning nlp rugpt train transformers

Last synced: 17 Aug 2025

https://github.com/MartinThoma/clana

CLANA is a toolkit for classifier analysis.

analysis classification machine-learning mit-license python python-3 python-3-5

Last synced: 05 Apr 2025

https://github.com/solrikk/pictrace

✨ PicTrace is an advanced Python-based web application that allows users to find visually similar images from a comprehensive photo archive. Leveraging the power of deep learning and modern image processing techniques, PicTrace delivers fast and accurate search functionality that is ideal for tasks such as cataloging...

computer-vision cosine-similarity deep-learning-algorithms fastapi image image-matching image-processing-python machine-learning opencv opencv-python python3 pytorch resnet50 tensorflow visual-search web-development webapp webdevelopment

Last synced: 15 May 2026

https://github.com/petersontylerd/mlmachine

mlmachine accelerates machine learning experimentation

data-analysis data-science data-visualization machine-learning python

Last synced: 21 Mar 2025

https://github.com/bbva/tarkin

A tool for anomaly detection over streaming data based on sentiment analysis

artificial-intelligence logs machine-learning spacy

Last synced: 21 Jun 2025

https://github.com/seungjaeryanlee/implementations-nfq

Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method

deep-learning deep-reinforcement-learning machine-learning paper python reinforcement-learning

Last synced: 06 Oct 2025

https://github.com/DOI-BOR/PyForecast

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

forecasting hydrology machine-learning python statistical-models

Last synced: 20 Jul 2025

https://github.com/martinthoma/clana

CLANA is a toolkit for classifier analysis.

analysis classification machine-learning mit-license python python-3 python-3-5

Last synced: 09 Apr 2025

https://github.com/dnguyenngoc/ml-models-in-production

This repo gives an introduction to how to make full working example to serve your model using asynchronous Celery tasks and FastAPI. πŸ”₯ πŸ”₯ πŸ”₯ πŸ”₯

celery fastapi machine-learning python rabbit-mq react redis tensorflow

Last synced: 11 Mar 2026

https://github.com/Mattral/KANX

One library, four surfaces. Production-grade Kolmogorov-Arnold Networks || TensorFlow + PyTorch + ONNX. || A small KAN beats a 10Γ— larger MLP on smooth, separable target. One library. Two backends. Real ONNX export. Docker + Kubernetes ready.

deep-learning gpu-acceleration interpretability kan kolmogorov-arnold-networks machine-learning neural-networks onnx production-ml symbolic-regression tensorflow

Last synced: 22 Jun 2026

https://github.com/fuzzylabs/vertex-edge

A tool for training models to Vertex on Google Cloud Platform.

ai deep-learning gcp google-cloud-platform machine-learning ml-infrastructure mlops vertex-edge

Last synced: 17 Mar 2026

https://github.com/mainakrepositor/cardiac-arrest-predictor

Predicts the chances of occurrence of cardiac arrest in an individual using machine learning algorithms

decision-tree-classifier heart-disease heroku-deployment machine-learning mini-project python3 readme slider-component streamlit-webapp

Last synced: 02 May 2025

https://github.com/dalmia/quora-question-pairs

The code for our submission in Kaggle's competition Quora Question Pairs which ranked in the top 25%.

deep-learning machine-learning nlp quora-question-pairs tensorflow

Last synced: 10 Apr 2025

https://github.com/jewelltaylor/camlgrad

Toy autograd engine in OCaml with Apple Accelerate backend

autograd deep-learning machine-learning macos neural-network ocaml tensor

Last synced: 10 Apr 2025

https://github.com/micheleriva/emotion-detection-ml-example

πŸ€“ Simple Emotion Detection Neural Network made with brain.js for an article on Hackdoor

brainjs emotion-detection es6 js machine-learning ml nodejs

Last synced: 30 Apr 2025

https://github.com/1farz1/league-of-legends-win-predector

A ML Model That Predict The Percentage of Winning for Each Blue And Red Team in League of Legends

jupyter-notebook league-of-legends machine-learning predective-modeling python3

Last synced: 12 Apr 2025

https://github.com/gerdm/reinforcement-learning

Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto

barto-sutton jax machine-learning python reinforcement-learning

Last synced: 15 Apr 2025

https://github.com/light-hat/smart_ids

πŸ§ πŸ›‘οΈ Web service for detecting network attacks in PCAP using ML.

api django django-rest-framework docker forensics forensics-tools machine-learning pcap-analyzer python triton-inference-server

Last synced: 14 Apr 2025

https://github.com/michael-rapp/apriori

A Java implementation of the Apriori algorithm for finding frequent item sets and (optionally) generating association rules

apriori association-rules data-mining frequent-itemsets machine-learning

Last synced: 15 Apr 2025

https://github.com/sfirke/predicting-march-madness

Machine learning tutorial to create an entry for the Kaggle March Mania contest

introduction machine-learning march-madness

Last synced: 03 Sep 2025

https://github.com/kyegomez/usm

Implementation of Google's USM speech model in Pytorch

ai artificial-intelligence dall3 deep-learning gpt4 gpt4all machine-learning neural-networks

Last synced: 15 Apr 2025

https://github.com/patil215/scrapsort

A convnet classifier and hardware device to automatically sort recycling materials.

camera convolutional-neural-networks flask machine-learning raspberry-pi tensorflow

Last synced: 01 Feb 2026

https://github.com/alexzwanenburg/familiar

Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.

ai explainable-ai machine-learning survival-analysis tabular-data

Last synced: 23 Feb 2026

https://github.com/pooranjoyb/beatbridge

BeatBridge is a Music Player based on React and TailwindCSS with a Clustering based Recommendation Engine. Don't forget to Star :star: the repository!

clustering css gaussianmixture-clustering html javascript kmeans-clustering kwoc kwoc2023 machine-learning react tailwindcss

Last synced: 16 Oct 2025

https://github.com/marvinbuss/explainableml-vision

This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

cam class-activation-maps data-science explainable-ai explainable-deepneuralnetwork explainable-ml hymenoptera-dataset lime machine-learning notebook pytorch shap transfer-learning

Last synced: 29 Jul 2025

https://github.com/r13i/ecg-classify

Classifying Heartbeat Arrhythmia using novel features (Auto-regressive coefficients & RR inter-beat distance)

auto-regressive-coefficients beats ecg heartbeat heartbeats-classification machine-learning python qrs rr-interval-features signal-processing veb-beats waves-autoregressive-features

Last synced: 03 Aug 2025

https://github.com/chuanyuxue/bdci-2020-timeseries-prediction

12th Solution: Matrix Factorization for High-Dimensional and Sparse Time Series Prediction

datamining kaggle-competition machine-learning time-series

Last synced: 29 Jul 2025

https://github.com/lenguyenthedat/minimal-datascience

This repository contains all the code and dataset used in my blog series: Minimal Data Science

blog-series data-science kaggle machine-learning python scikit-learn xgboost

Last synced: 13 Apr 2025

https://github.com/gitycc/tensorflow_tutorial

Step by step, Let you learn how to use tensorflow in practical.

deep-learning machine-learning neurel-network tensorflow

Last synced: 03 Jul 2025

https://github.com/lockwo/distreqx

Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.

jax machine-learning statistics

Last synced: 12 Jun 2025

https://github.com/deepraj1729/yplate

License Plate Detection library powered by YOLO v3 and OpenCV with Command Line Interface

computer-vision deep-learning detect-plates machine-learning neural-networks number-plate-recognition numpy opencv tensorflow yolov3

Last synced: 01 May 2025

https://github.com/odinn-sciml/diffeqsensitivity-review

A Review of Sensitivity Methods for Differential Equations

differential-equations machine-learning optimization sensitivity

Last synced: 22 Apr 2025

https://github.com/skysingh04/motion-amplification-video

Motion Amplification Video (MAV) offers a groundbreaking solution for precise vibrational analysis across industries : Smart India Hackathon - 2023

aws aws-cloudfront aws-s3 cloudinary expressjs image-processing machine-learning mern-stack mongodb motionamplification nodejs react smartindiahackathon2023 vibrational-analysis

Last synced: 07 May 2025

https://github.com/csong27/ml-model-remember

Code for Machine Learning Models that Remember Too Much (in CCS 2017)

machine-learning privacy

Last synced: 10 May 2025

https://github.com/abhishek-ch/streamlit-healthcare-ml-app

Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!

docker docker-image machine-learning pyspark streamlit

Last synced: 29 Oct 2025

https://github.com/lincc-frameworks/hyrax

Hyrax - A low-code framework for rapid experimentation with ML & unsupervised discovery in astronomy

machine-learning mlops

Last synced: 18 May 2026

https://github.com/kayba-ai/recursive-improve

πŸͺž Make your agents recursively self-improve

agent-learning agents ai ai-agent ai-tools llm machine-learning

Last synced: 26 Apr 2026

https://github.com/theracetrack/racetrack

An opinionated framework for deploying, managing, and serving application workloads

deployment kubernetes machine-learning microservice mlops model-management racetrack

Last synced: 25 Jun 2025

https://github.com/snowflake-labs/emerging-solutions-toolbox

The Emerging Solutions Toolbox is a collection of solutions created by Snowflake's Solution Innovation Team (SIT) that consists of demos, helpers, and frameworks to help you get the most out of Snowflake.

ai data-engineering data-science data-warehousing machine-learning native-apps notebooks optimization python snowflake streamlit

Last synced: 22 Jun 2025

https://github.com/oliverbravery/3d-print-sentinel

Docker-based 3D print monitoring with Home Assistant, OctoPrint, machine learning and featuring secure remote access. Runs locally on Raspberry Pi.

3d-printing home-assistant home-automation machine-learning raspberry-pi

Last synced: 10 Apr 2025

https://github.com/usace-rmc/numerics

Numerics is a free and open-source library for .NET developed by USACE-RMC, providing a comprehensive set of methods and algorithms for numerical computations and statistical analysis.

machine-learning mcmc-sampling optimization probability-distribution statistics

Last synced: 06 Apr 2026

https://github.com/JieZheng-ShanghaiTech/KG4SL

Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.

ai4science bioinformatics cancer data-science drug-discovery machine-learning

Last synced: 06 May 2025

https://github.com/doi-bor/pyforecast

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

forecasting hydrology machine-learning python statistical-models

Last synced: 30 Oct 2025

https://github.com/mzed/ofxrapidlib

openFrameworks wrapper for the RapidLib machine learning library

machine-learning openframeworks signal-processing

Last synced: 13 Apr 2025

https://github.com/lweitkamp/GANs-JAX

Implementation of several Generative Adversarial Networks in JAX / Flax

flax gans generative-adversarial-network jax machine-learning python

Last synced: 21 Nov 2025

https://github.com/viadee/camunda-kafka-polling-client

Stream your process history to Kafka

bpmn camunda history kafka machine-learning tool

Last synced: 13 Oct 2025

https://github.com/mmottl/aifad

AIFAD - Automated Induction of Functions over Algebraic Data Types

algebraic-data-types decision-trees machine-learning ocaml

Last synced: 28 Oct 2025

https://github.com/euske/nn1

Convolutional Neural Network in C (for educational purposes)

educational machine-learning mnist neural-network

Last synced: 16 Apr 2026

https://github.com/asavinov/machine-learning-and-data-processing

A collection of resources on machine learning, data processing and related areas

analytics big-data data-mining data-processing data-science databases machine-learning software stream-processing

Last synced: 02 Mar 2026

https://github.com/danielvegamyhre/is-this-fake-news

A web application which detects fake news using machine learning and natural language processing techniques.

machine-learning natural-language-processing

Last synced: 06 Jul 2025

https://github.com/aradfarahani/remote-sensing

And this Repository made the Journey of FEZtool.com

deep-learning geology machine-learning remote-sensing

Last synced: 07 Apr 2025

https://github.com/pdil/classifierkit

πŸ€– A suite of tools and examples for training Core ML models with Create ML.

coreml createml ios machine-learning macos swift-playgrounds

Last synced: 14 Apr 2025

https://github.com/juliaml/valuehistories.jl

Utilities to efficiently track learning curves or other optimization information

machine-learning monitoring-tool

Last synced: 14 Mar 2025

https://github.com/microsoft/responsible-ai-toolbox-genbit

A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.

data-science fairness-ai fairness-ml fairnness gender gender-bias jupyter machine-learning natural-language natural-language-processing

Last synced: 27 Jul 2025

https://github.com/nedtaylor/athena

A Fortran-based neural network library for physics-based applications. Alongside standard neural network layer types, it also supports graph-based layers and physics informed neural networks.

automatic-differentiation cnn convolution convolutional-neural-networks deep-learning feed-forward-neural-networks fortran fortran-package-manager machine-learning message-passing-neural-network neural-network physics-informed-neural-networks

Last synced: 17 Jan 2026

https://github.com/rsharp-lang/R-sharp

R# language is a kind of R liked vectorized language implements on .NET environment for the bioinformatics data analysis

bioinformatics gcmodeller graphquery hdf5 hpc machine-learning microsoft-visualbasic netcdf parallel-computing r r-sharp vb

Last synced: 30 Jul 2025

https://github.com/pityka/lamp

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

deep-learning extratrees gpu gpu-acceleration libtorch machine-learning neural-networks pytorch scala scala-library tensor umap

Last synced: 08 Mar 2025

https://github.com/flink-extended/clink

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

feature-engineering flink-streaming machine-learning online-learning

Last synced: 21 Feb 2026

https://github.com/curiousily/hackers-guide-to-deep-learning

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

deep-learning machine-learning machine-learning-api machine-learning-deploy machine-learning-engineering neural-networks python pytorch

Last synced: 04 Oct 2025

https://github.com/hendersontrent/gam.jl

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

data-science generalized-additive-models machine-learning regression statistical-models statistics

Last synced: 08 Apr 2025

https://github.com/rohan-paul/awesome-machine-learning-datascience_resources

Curated Collection of Online and Free Resources for serious learning of Machine Learning and Data Science.

artificial-intelligence data-science deep-learning deeplearning machine-learning mathematics

Last synced: 03 Jul 2025

https://github.com/passalis/sef

A Python Library for Similarity-based Dimensionality Reduction

dimensionality-reduction machine-learning pytorch

Last synced: 19 Apr 2025

https://github.com/achillesrasquinha/pehchaan

Devanagari Character Recognition

character-recognition devanagari machine-learning

Last synced: 15 Jun 2025

https://github.com/natmlx/robust-video-matting-unity

Robust Video Matting for high-fidelity human segmentation in Unity Engine.

background-removal computer-vision human-segmentation machine-learning natml unity3d

Last synced: 17 Mar 2025