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/louisbrulenaudet/docutron

Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.

cv2 detecron2 detection document legal legaltech legaltools llm machine-learning nlp ocr ocr-recognition preprocessing

Last synced: 14 Jul 2025

https://github.com/socaity/fasttaskapi

Create web-APIs for long-running tasks. Job based task handling. Get the result with the job id later. FastTaskAPI creates threaded jobs and job queues on the fly. Router functionality for Runpod. Run services anywhere, be it local, hosted or serverless.

azure-blob-storage celery deployment fastapi job-queue json machine-learning openapi rest runpod s3-storage starlette threading uvicorn

Last synced: 17 Jul 2025

https://github.com/dice-group/tebaqa

A question answering system which utilises machine learning.

machine-learning natural-language-processing question-answering weka

Last synced: 24 Jun 2025

https://github.com/ssydasheng/gpflow-slim

customized GPflow with simple Tensorflow API

gaussian-processes machine-learning

Last synced: 11 Sep 2025

https://github.com/zongxr/dcic2024-offshore-wind-power

本赛题要求选手基于风力海况气象数据、风机性能数据等,针对复杂多变气象和海况条件的深度耦合影响,提出海上风电出力预测模型,提升模型精度以及在工程应用中的可信度,为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342,排名83;B榜得分0.06745705,排名55

lightgbm machine-learning sklearn time-series

Last synced: 09 May 2025

https://github.com/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 20 Jun 2025

https://github.com/danieleds/torchrc

An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.

echo-state-networks library machine-learning neural-networks pytorch recurrent-neural-networks reservoir-computing rnn

Last synced: 14 Apr 2025

https://github.com/smarttensors/nmfk.jl

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

blind-source-separation feature-extraction julia machine-learning physics-informed-learning scientific-computing scientific-machine-learning source-identification unsupervised-machine-learning

Last synced: 18 Feb 2026

https://github.com/jmduarte/phys139_239

UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)

machine-learning physics ucsd

Last synced: 11 Sep 2025

https://github.com/linhaowei1/CLoG

✌ CLoG: Benchmarking Continual Learning of Image Generation Models

continual-learning diffusion-models gan generative-model huggingface machine-learning stable-diffusion

Last synced: 27 Mar 2025

https://github.com/joerihermans/constraining-dark-matter-with-stellar-streams-and-ml

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

astrophysics dark-matter deep-learning likelihood-free-inference machine-learning simulation-based-inference

Last synced: 21 Sep 2025

https://github.com/oelmekki/postgres-350d

Docker build of postgresql changing the dimension limit for the cube extension, raising it to 350

machine-learning postgres postgresql vector-database

Last synced: 01 Aug 2025

https://github.com/tailhq/plasmaml

Machine Learning tools for Space Weather and Plasma Physics

machine-learning plasma-physics scala space-physics space-weather

Last synced: 15 Oct 2025

https://github.com/anroshka/snake-ai

🐍 A Snake game AI that learns to play through Deep Q-Learning. Built with PyTorch and Pygame, featuring CUDA acceleration and real-time visualization of the learning process.

artificial-intelligence collaborate collaboration cuda deep-learning deep-q-learning dqn game-ai gpu-acceleration machine-learning neural-network pygame python pytorch q-learning reinforcement-learning snake-game

Last synced: 24 Feb 2026

https://github.com/rhnvrm/machine-learning-nanodegree

Project Portfolio for Machine Learning Nanodegree by Udacity

machine-learning nanodegree udacity

Last synced: 05 Mar 2026

https://github.com/jalajthanaki/stock_price_prediction

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

djia machine-learning predictive-analytics price stock-price-prediction

Last synced: 13 Oct 2025

https://github.com/equinor/timeseriesanalysis

Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.

advanced-analytics data-mining digital-twins dynamic-simulations machine-learning mpc-control multivariate-statistics pid-control system-identification time-series

Last synced: 11 Oct 2025

https://github.com/ahammadmejbah/linear-regression

In statistics, linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression

machine-learning regression statistics

Last synced: 27 Apr 2025

https://github.com/jupiters1117/mico

MICO: Mutual Information and Conic Optimization for feature selection

conic-programs convex-optimization feature-selection machine-learning mutual-information python semidefinite-programming

Last synced: 14 Jan 2026

https://github.com/ondrejbiza/bandits

Comparison of bandit algorithms from the Reinforcement Learning bible.

machine-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms sutton-book

Last synced: 25 Oct 2025

https://github.com/sap-samples/hana-ml-py-codejam

Material (learning content and exercises) for SAP CodeJams on getting started with Machine Learning using SAP HANA Cloud and Python.

codejam hana-ml machine-learning python sample sap-codejam sap-hana

Last synced: 20 Aug 2025

https://github.com/voxel51/reconstruction-error-ratios

Estimate dataset difficulty and detect label mistakes using reconstruction error ratios!

annotation clip-model computer-vision data-centric-ai machine-learning python umap

Last synced: 16 Mar 2026

https://github.com/aahrens1/ddml

Double/Debiased Machine Learning implementation for Stata

causal-inference machine-learning stata

Last synced: 23 Feb 2026

https://github.com/sql-hkr/syna

Syna is a lightweight machine learning framework inspired by DeZero.

framework machine-learning reinforcement-learning

Last synced: 14 May 2026

https://github.com/aspuru-guzik-group/golem

Golem: an algorithm for robust experiment and process optimization

experimental-design machine-learning optimization

Last synced: 11 Apr 2025

https://github.com/nhatsmrt/nn-toolbox

A toolbox of commonly used deep learning components, procedures and applications

data-science deep-learning machine-learning neural-networks python pytorch

Last synced: 10 Apr 2025

https://github.com/bgu-cs-vil/pdc-dp-means

"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]

clustering dpmeans kmeans machine-learning minibatch scikit-learn

Last synced: 10 Apr 2025

https://github.com/zhenye-na/coursera-ml

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines

Last synced: 02 May 2025

https://github.com/anishLearnsToCode/ml-stanford

Machine Learning Course by Stanford on Coursera (Andrew Ng)

andrew-ng classification coursera logistic-regression machine-learning ml regression stanford

Last synced: 31 Mar 2025

https://jinglescode.github.io/reinforcement-learning-tic-tac-toe/

A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function.

javascript machine-learning reinforcement-learning

Last synced: 14 Mar 2025

https://github.com/opensourceai/spark-plan

星火计划-做AI领域的独家,所有文章旨在技术传播和交流学习,非商业用途。

ai depplearning machine-learning python

Last synced: 01 Sep 2025

https://github.com/euclidstellar/team-management-app

A Flutter team management app that can be used for multiple purpose of managing workflow between teams to make it efficient : web version below

chat chat-application crm-app crm-application crm-platform leadership machine-learning resource-management team team-management team-management- team-members team-platform teamwork-projects

Last synced: 24 Apr 2025

https://github.com/krisharul26/motorbike-helmet_detection-using-yolov3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

artificial-intelligence computer-vision image-processing imageclassification keras-tensorflow labelimg-tool machine-learning objectdetection tensorflow2 transfer-learning yolov3

Last synced: 12 May 2025

https://github.com/erupturatis/neuralnetworkplayground

A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters

backpropagation d3 d3js d3js-graph machine-learning neural-network neural-network-visualization react reactjs rendering visualization

Last synced: 31 Aug 2025

https://github.com/shehzeen/waveguard_defense

This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"

adversarial-machine-learning audio defense-methods machine-learning

Last synced: 30 Apr 2025

https://github.com/MilaNLProc/bertlang

A web interface to understand language-specific BERT-models

artificial-intelligence bert-model machine-learning nlp nlp-machine-learning

Last synced: 23 Aug 2025

https://github.com/jakecyr/gpt-text-to-diagram

Generate software design diagram images from plain text using GPT models.

chatgpt gpt machine-learning nodejs openai software-design software-engineering

Last synced: 16 Apr 2025

https://github.com/amitkaps/datascience

Build and Deploy Machine Learning Models on the Cloud

cloud data-science machine-learning python

Last synced: 10 Nov 2025

https://github.com/wondervictor/traffic_prediction

Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)

deep-learning deep-neural-networks machine-learning predictive-analysis

Last synced: 15 Apr 2025

https://github.com/nmandery/extended-isolation-forest

Rust port of the extended isolation forest algorithm for anomaly detection

anomaly-detection isolation-forest machine-learning

Last synced: 30 Aug 2025

https://github.com/nazanin1369/datamining-knn

Implement KNN classification algorithm in Python

knn-classification machine-learning

Last synced: 23 Mar 2025

https://github.com/marketcalls/openadvisor

Self Hostable - Personal Machine Learning Based Stock Recommendation Platform

catboost daisyui flask investment-analysis machine-learning python sqlite stock-price-prediction tailwindcss tradingview

Last synced: 13 Aug 2025

https://github.com/sbrunk/scalajs-tfjs

Scala.js bindings for TensorFlow.js. Train and deploy ML models in your browser with Scala.

deep-learning machine-learning scala scala-js tensorflow tensorflowjs

Last synced: 01 Apr 2026

https://github.com/aiwithqasim/piaic-artificial-intelligence

Welcome, to this OPEN SOURCE repository. In this repository, I'll Add all Material that I had read in the PIAIC course. It will benefit those students of PIAIC who are Enthusiastic toward Artificial Intelligence.

cnn data-science deep-learning docker linux machine-learning matplotlib numpy pandas python3

Last synced: 17 Mar 2025

https://github.com/kujenga/goml

Experimental ML implementations in Go

go machine-learning mnist neural-networks

Last synced: 06 May 2025

https://github.com/aniketwdubey/rainfall-prediction-end-to-end-ml-project

The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.

css data-science data-visualization flask html machine-learning python rainfall-prediction

Last synced: 23 Apr 2025

https://github.com/joylarkin/my-ai-resource-list

A useful opinionated repository of Artificial Intelligence ecosystem resources - AI event calendars, papers, books, articles, videos, AI leaderboards, and much more.

agi ai ai-2025 ai-ecosystem ai-leaderboards ai-list ai-resources ai-tools api artificial-intelligence asi awesome-ai cerebral-valley documentation machine-learning ml prompts sdk

Last synced: 20 Feb 2026

https://github.com/thudm/mrt

MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)

data-mining machine-learning

Last synced: 30 Nov 2025

https://github.com/asem000/serket

The ✨Magical✨ JAX ML Library.

jax machine-learning neural-network

Last synced: 07 Oct 2025

https://github.com/cair/open-tsetlin-machine

Open Source Tsetlin Machine framework

machine-learning tsetlin-machine

Last synced: 07 Jan 2026

https://github.com/riscy/machine_learning_linear_models

A demo showcasing linear regression, reduced-rank regression and a linear system identification algorithm for modelling time series -- and when to apply them.

linear-model machine-learning

Last synced: 11 Apr 2025

https://github.com/deepset-ai/haystack-home

Website for Haystack, the open source LLM framework

blog llm machine-learning nlp open-source

Last synced: 12 Apr 2025

https://github.com/faceplugin-ltd/open-source-face-recognition-sdk

The world's 1st open source face recognition SDK for Windows and Linux (Face detection, Face landmark extraction, Face feature extraction, Face template mathcing)

deep-learning face-detection face-landmark-detection face-recognition identity-verification machine-learning open-source python

Last synced: 07 Mar 2026

https://github.com/progamergov/pytorch-convis

A tool to visualize convolutional layer activations on an input image.

cnn convis heatmap machine-learning network-in-network neural-style-pt nin pytorch vgg vision visualisation visualization

Last synced: 19 Mar 2025

https://github.com/cea-list/rpcdataloader

A variant of the PyTorch Dataloader using remote workers.

data-science dataloader distributed-computing hpc machine-learning preprocessing pytorch slurm

Last synced: 21 Jun 2025

https://github.com/ae-bii/neural-geometry

Latent Space Geometry for Neural Networks in Python

deep-learning machine-learning manifold-optimization neural-network python

Last synced: 14 Dec 2025

https://github.com/adamjstewart/crop_yield_prediction

:corn: Machine learning model for crop yield prediction

crop-model deep-learning machine-learning neural-network

Last synced: 07 May 2025

https://github.com/msesia/conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

conformal-prediction false-discovery-rate machine-learning outlier-detection statistics

Last synced: 30 Oct 2025

https://github.com/afathi/turicreate-notebooks

Demonstrating how to create custom Core ML models 👾🤖

computer-vision coreml ios machine-learning macos python watchos

Last synced: 04 Apr 2025

https://github.com/neurodata/df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

classification decision-trees deep-learning deep-neural-networks machine-learning random-forests

Last synced: 21 Aug 2025

https://github.com/elenamer/ecg_classification_dl

ECGDL: A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG

arrhythmia-classification ecg machine-learning

Last synced: 09 Aug 2025

https://github.com/targene/tmle.jl

A Julia implementation of the Targeted Minimum Loss-based Estimation

causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle

Last synced: 27 Jul 2025

https://github.com/tushartushar/ml4sca

Machine Learning for Source Code Analysis

literature-review machine-learning ml4se software-engineering survey

Last synced: 11 Apr 2026

https://github.com/h2oai/mlops-dai-runtimes

Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/

h2o h2oai machine-learning model-deployment model-server model-serving mojo

Last synced: 07 Apr 2025

https://github.com/ntia/alignnet

Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.

corpus-effect listening-experiment machine-learning no-reference-audio-quality-assessment speech-quality speech-quality-evaluation subjective-tests

Last synced: 01 Sep 2025

https://github.com/shivaylamba/machine-learning-mentorship

Repository for GirlScript Winter Mentorship Programme for Machine Learning

girlscript machine-learning mentorship python

Last synced: 14 Apr 2025

https://github.com/lucko515/breast-cancer-classification

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

breast-cancer-wisconsin classification classification-algorithims machine-learning

Last synced: 14 Apr 2025

https://github.com/aianytime/machine-learning-models-implementation

Implementation of several ML models on real-world datasets with detailed explanation in notebooks.

eda machine-learning machine-learning-algorithms ml numpy pandas pycaret python scikit-learn scikitlearn-machine-learning sklearn

Last synced: 28 Jun 2025

https://github.com/piesposito/transformers-low-code-experiments

Low-code pre-built pipelines for experiments with huggingface/transformers for Data Scientists in a rush.

deep-learning machine-learning nlp pytorch transformer

Last synced: 31 Jul 2025

https://github.com/habedi/feature-factory

A high-performance feature engineering library for Rust powered by Apache DataFusion 🦀

data-preprocessing data-science feature-engineering feature-selection machine-learning rust-lang rust-library

Last synced: 01 Aug 2025

https://github.com/vijax0/ai-clip-creator

An AI tool that automatically identifies and extracts highlight-worthy moments from long videos, creating standalone clips without manual editing.

audio-processing deep-learning flask machine-learning prototype python

Last synced: 29 Aug 2025

https://github.com/lightonai/reinforcement-learning-opu

Code to perform Model-Free Episodic Control using Aurora OPUs

machine-learning optical-network photonic-computing reinforcement-learning

Last synced: 26 Aug 2025

https://github.com/zephery/weiboflask

微博情感分析,使用flask制作restful api,毕业设计衍生项目

adaboost bayes flask machine-learning

Last synced: 25 Apr 2025

https://github.com/caranathunge/promor

A comprehensive R package for label-free proteomics data analysis and modeling

biomarkers differential-expression lfq machine-learning mass-spectrometry modeling proteomics r r-package rstats

Last synced: 24 Sep 2025

https://github.com/kyegomez/hrtx

Multi-Modal Multi-Embodied Hivemind-like Iteration of RTX-2

ai artificial-intelligence ensemble gpt4v machine-learning ml multi-modal multi-modality rt-2 rtx

Last synced: 16 Apr 2025

https://github.com/qinhanmin2014/machine-learning-in-action

Source code from the book Machine Learning in Action, corrected the errors, updated according to python 3.X

machine-learning machine-learning-algorithms

Last synced: 24 Apr 2025