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/shz9/csc2541-ml-project

Modeling Uncertainty in RNNs for Time Series Forecasting

gaussian-processes keras machine-learning rnn time-series

Last synced: 01 Jul 2026

https://github.com/open-edge-platform/annflux

A research tool for exploring and annotating large datasets with Active Learning

active-learning annotation classification clustering data-exploration large-scale machine-learning multilabel-clustering

Last synced: 08 Feb 2026

https://github.com/axect/neural_hamilton

Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"

classical-mechanics deep-learning hamiltonian-dynamics machine-learning neural-operator operator-learning

Last synced: 25 Feb 2026

https://github.com/transbiozi/biomm

BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data

biomm dna-methylation elasticnetregression epigenomics gene-expression genomics go-pathway gwas high-dimensional kegg-pathway machine-learning omics phenotype-prediction random-forest svm transcriptomics

Last synced: 24 Feb 2026

https://github.com/igreat/fast-style-transfer

PyTorch implementation of the fast neural style transfer paper 🏎💨🖌️🎨🧠

art artificial-intelligence computer-vision deep-learning fast-style-transfer machine-learning python pytorch style-transfer video-style-transfer

Last synced: 16 Oct 2025

https://github.com/vinhkhuc/lbfgs4j

Java version of liblbfgs: http://www.chokkan.org/software/liblbfgs/

java machine-learning optimization

Last synced: 29 Jan 2026

https://github.com/sachinkalsi/html_tag_annotator

A Machine Learning tool to create the training dataset very quickly & easily by using a smart chrome extension

annotations chrome-extension generate-training-data harvest html-tag-annotation html-text-annotator machine-learning scraper text-annotation train-dataset unstructured-data

Last synced: 28 Oct 2025

https://github.com/ait-testbed/attackbed

The AttackBed is a simulated enterprise network with numerous vulnerabilities. Attacks in this testbed are executed automatically and cover a variety of tactics and techniques of the MITRE ATT&CK enterprise framework.

aecid ai ait ansible atb attackmate dataset environment machine-learning openstack research security simulation terraform terragrunt testbed vulnerability

Last synced: 02 Mar 2026

https://github.com/drew2323/v2trading

V2Trading platform - live trading engine, backtesting and research tool.

algotrading backtesting-engine machine-learning quant trading

Last synced: 05 Mar 2026

https://github.com/jishanshaikh4/alpha-net

Alpha-Net: Architecture, Models, and Applications (https://arxiv.org/abs/2007.07221)

alpha-net computer-vision machine-learning

Last synced: 28 Jan 2026

https://github.com/rensvandeschoot/software-overview-machine-learning-for-screening-text

The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.

active-learning machine-learning software-development systematic-reviews

Last synced: 03 Jan 2026

https://github.com/nhejazi/txshift

:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance

Last synced: 16 Aug 2025

https://github.com/sherylhyx/msgnn

Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

directed-networks graph-neural-networks machine-learning magnetic-laplacian pytorch signed-directed-networks signed-networks

Last synced: 14 Apr 2025

https://github.com/pikarpov-lanl/sapsan

ML-based turbulence modeling for astrophysics

astrophysics machine-learning pytorch turbulence

Last synced: 14 Apr 2025

https://github.com/adhadse/deepdubpy

A complete end-to-end Deep Learning system to generate high quality human like speech in English for Korean Drama (WIP)

cross-language deep-learning korean-drama machine-learning speech-sythesis tensorflow text-to-speech voice-cloning

Last synced: 17 Aug 2025

https://github.com/vsoch/opensource-art

open source, collaborative art generation that combines hand and machine

art circle-ci collaborative deep-dream gallery github-pages machine-learning open-source opensource-art

Last synced: 03 Aug 2025

https://github.com/scicloj/scicloj.ml.tribuo

Use Tribuo ML model in metamorph.ml

machine-learning

Last synced: 14 Apr 2025

https://github.com/takuti/anompy

A Python library for anomaly detection

anomaly-detection data-science forecasting machine-learning python

Last synced: 15 Apr 2025

https://github.com/devopscorner/nifi

Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)

ansible data-science data-structures docker docker-compose dockerhub ecr eks eks-cluster etl kubernetes machine-learning ml mlops nifi nifi-registry terraform vpn vpn-client

Last synced: 08 Sep 2025

https://github.com/doarakko/kagoole

Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.

artificial-intelligence data-science heroku kaggle kaggle-competition kaggle-solution machine-learning webapp

Last synced: 17 Oct 2025

https://github.com/ichtrojan/object-detection

Real-time Object Detection using Tensorflow and Javascript

javascript machine-learning object-detection reactjs tensorflow web

Last synced: 18 Aug 2025

https://github.com/dhopp1/nowcastlstm

R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.

deep-learning forecasting lstm machine-learning neural-network nowcasting

Last synced: 14 Apr 2025

https://github.com/bnosac/dlib

allowing R users to work with dlib through Rcpp

dlib image-recognition machine-learning r rcpp robotics

Last synced: 05 Jul 2025

https://github.com/rickstaa/panda-autograsp

An autonomous grasping solution for the Emika Franka Panda robot.

machine-learning neural-networks python robot-manipulation robotics ros

Last synced: 28 Oct 2025

https://github.com/adeshpande3/quandl-machine-learning

Using the Quandl API to (try) to apply ML to the stock market

machine-learning quandl-api quandl-machine-learning quantitative-finance

Last synced: 13 May 2025

https://github.com/openml/openml-tutorial

Learn how to use OpenML for reproducible, collaborative machine learning projects

machine-learning openml tutorial

Last synced: 01 Jul 2025

https://github.com/aslotte/mlnet-jupyter

Jupyter Notebook + ML.NET Samples

dotnetcore jupyter-notebook machine-learning mlnet

Last synced: 31 Oct 2025

https://github.com/ljvmiranda921/vs-split

A Python library for creating adversarial splits

adversarial-examples adversarial-machine-learning machine-learning python

Last synced: 23 Apr 2025

https://github.com/ybubnov/metalchat

Llama inference for Apple Silicon

deep-learning machine-learning neural-networks

Last synced: 23 Feb 2026

https://github.com/floriank13/skyimages

Download and manage sky images for solar power forecasting.

data dataset datasets energy forecasting machine-learning python python-package pytorch

Last synced: 13 May 2025

https://github.com/nanxstats/msaenet

🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions

false-positive-control high-dimensional-data linear-regression machine-learning variable-selection

Last synced: 22 Apr 2025

https://github.com/getindata/kedro-snowflake

Kedro Snowflake / Snowpark plugin

kedro machine-learning mlops snowflake snowpark

Last synced: 09 Apr 2025

https://github.com/zamaex96/hybrid-cnn-lstm-with-spatial-attention

This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extraction, long short-term memory (LSTM) networks for sequential modeling, and attention mechanisms to focus on important parts of the sequence.

attention cnn-classification hybrid lstm-model machine-learning

Last synced: 08 Jan 2026

https://github.com/davidgasquez/letter-recognition

:information_source: Application of Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.

letter-recognition machine-learning

Last synced: 05 Mar 2026

https://github.com/zjunlp/speech

[ACL 2023] SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres

acl2023 energy-model event-extraction ie information-extraction machine-learning natural-language-processing nlp physics pytorch speech structure-prediction

Last synced: 04 Mar 2026

https://github.com/gridaco/figma-archives

Figma Files Scraper for Research & Studies

crawler dataset design-database figma machine-learning scrapy selenium

Last synced: 06 Oct 2025

https://github.com/sap-samples/acl2019-commonsense

Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.

commonsense-reasoning machine-learning nlp sample

Last synced: 13 Apr 2025

https://github.com/business-science/workshop_2018_dsgo

DataScienceGO 2018 - Machine Learning Workshop

machine-learning r-programming

Last synced: 12 Apr 2025

https://github.com/SoftCreatR/php-mistral-ai-sdk

A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.

ai api api-client api-wrapper artificial-intelligence gpt gpt-3 gpt-4 hacktoberfest llama machine-learning mistral natural-language-processing nlp perplexity php replit sdk

Last synced: 21 Jul 2025

https://github.com/krypty/trefle

Trefle is a scikit-learn compatible estimator implementing the FuzzyCoCo algorithm that uses a cooperative coevolution algorithm to find and build interpretable fuzzy systems.

data-science deap evolutionary-algorithm fuzzy-logic interpretability machine-learning python scikit-learn

Last synced: 29 Oct 2025

https://github.com/snehankekre/streamlit-yellowbrick

Streamlit component for the Yellowbrick visualization and model diagnostics library

data-visualization machine-learning matplotlib python scikit-learn streamlit visualization yellowbrick

Last synced: 24 Oct 2025

https://github.com/chaganti-reddy/evmarket-india

Electric Vehicle Market Segmentation Analysis in India

data-analysis data-science machine-learning market-segmentation pandas python

Last synced: 12 Apr 2025

https://github.com/alecokas/flux-vae

Implementation of a Convolutional Variational Autoencoder in Flux.jl

blog cvae fashion-mnist flux julia julialang machine-learning vae variational-autoencoder

Last synced: 11 Apr 2025

https://github.com/rasbt/datapipes-blog

Code for the DataPipes article

deep-learning machine-learning python pytorch

Last synced: 29 Oct 2025

https://github.com/kk7nc/3d-object-detection

Weighted Unsupervised Learning for 3D Object Detection

clustering kinect machine-learning object-detection unsupervised-machine-learning

Last synced: 06 May 2025

https://github.com/mlr-org/mlr3tuningspaces

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

automl hyperparameter-tuning machine-learning mlr3 r r-package tune tuning

Last synced: 20 Jul 2025

https://github.com/acecoooool/mlds-note

:books: This is note for Machine Learning and having it deep and structrured (Hung-yi Lee)

course deep-learning machine-learning python pytorch tutorial

Last synced: 09 Sep 2025

https://github.com/snowkylin/snowkylin.github.io

Snowkylin's Blog - 雪麒的百草园

deep-learning machine-learning

Last synced: 14 Sep 2025

https://github.com/aditya30394/person-re-identification

Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.

deep-learning deep-neural-networks machine-learning person-re-identification person-reidentification python pytorch pytorch-cnn pytorch-gan

Last synced: 19 Apr 2025

https://github.com/zenml-io/template-starter

A template for a starter project for ZenML

cookiecutter copier-template data-science machine-learning mlops zenml

Last synced: 14 Apr 2025

https://github.com/bentsherman/tesseract

A tool for creating resource prediction models for scientific workflows

high-performance-computing machine-learning nextflow scientific-computing scientific-workflows

Last synced: 14 Apr 2025

https://github.com/dheerajjha451/cancerdetection

This project is an online platform designed to provide comprehensive health services for cancer patients. The aim is to create a digital space where patients can easily access resources, support, and professional consultations to manage their health journey. Through this platform, patients and their families can find essential information.

cancer-detection chatbot collabo healthcare llm machine-learning news twofactorauth typescript videocall web

Last synced: 04 Oct 2025

https://github.com/pathwayforte/pathway-forte

A Python package for benchmarking pathway database with functional enrichment and classification methods

benchmarking bioinformatics databases machine-learning pathway-analysis pathway-enrichment-analysis systems-biology

Last synced: 17 Jun 2025

https://github.com/ahmedbahaaeldin/introduction-to-nlp-class

Introduction to NLP class at Zewail City. This repo contains all the resources and materials for students

jupyter-notebooks machine-learning natural-language-processing statistical-methods tutorials

Last synced: 02 Mar 2026

https://github.com/janelia-cellmap/cellmap-models

Repository of model architectures and network weights used for CellMap segmentations.

machine-learning segmentation

Last synced: 18 Feb 2026

https://github.com/zziz/mean-shift

Mean-shift clustering in Python in 100 lines

machine-learning mean-shift meanshift python

Last synced: 27 Jul 2025

https://github.com/intel-retail/rtsf-at-checkout-reference-design

Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.

computer-vision deep-learning edge edge-ai edge-computing image-recognition inference intel live-demo machine-learning object-detection openvino pretrained-models real-time reference-implementation video

Last synced: 18 Aug 2025

https://github.com/mayer79/splittools

Light weight R package to do fast data splitting for cross-validation or train/valid/test splits

cross-validation machine-learning rstats time-series validation

Last synced: 21 Aug 2025

https://github.com/abhineetraj1/face-dectection-python

This project helps to locate/visualize human faces through digital camera.

face-detection machine-learning machine-learning-algorithms opencv-python python-face-detection python3

Last synced: 16 Apr 2025

https://github.com/kyosek/probability-calibration-imbalanced

This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.

bayesian-methods classification creditcard-fraud imbalanced-data machine-learning probability-calibration

Last synced: 15 May 2025

https://github.com/iqtlabs/rfclassification

Project aimed to use RF signals to detect and classify devices

classification detection machine-learning rf

Last synced: 29 Sep 2025

https://github.com/biocore/qadabra

Snakemake workflow for comparison of differential abundance ranks

bioinformatics differential-abundance machine-learning metagenomics microbiome pipeline snakemake workflow

Last synced: 13 May 2025

https://github.com/p1ayer-1/llama-libtorch

Llama causal LM fully recreated in LibTorch. Designed to be used in Unreal Engine 5

libtorch llama2 llamacpp machine-learning pytorch

Last synced: 11 Oct 2025

https://github.com/marcos-venicius/smlf

A small machine learning framework with ONLY python and math

artificial-intelligence deep-learning ia machine-learning ml models neural-network xor

Last synced: 12 Apr 2025

https://github.com/meridianalgo/araai

A machine learning platform for market analysis and forecasting, specializing in stock volatility prediction, market trend forecasting, and portfolio optimization.

artificial-intelligence huggingface huggingface-models machine-learning machine-learning-algorithms meridianalgo stock-analysis stock-price-prediction

Last synced: 26 May 2026

https://github.com/scofield7419/strumatchdl

Codes for ICML 2022 paper: Matching Structure for Dual Learning

machine-learning nlp

Last synced: 27 Apr 2025

https://github.com/benc-uk/batcomputer

A working example of DevOps & operationalisation applied to Machine Learning and AI

api-wrapper azure azure-devops databricks docker kubernetes machine-learning

Last synced: 10 Mar 2025