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/rishit-dagli/astroformer

This repository contains the official implementation of Astroformer, an ICLR Workshop 2023 paper.

computer-vision convolutional-neural-networks deep-learning machine-learning transformer vision-transformer

Last synced: 16 Oct 2025

https://github.com/carpentries-incubator/machine-learning-novice-sklearn

A Carpentry style lesson on machine learning with Python and scikit-learn.

alpha carpentries-incubator english lesson machine-learning python sklearn

Last synced: 22 Oct 2025

https://github.com/plainerman/diffdock-pocket

Implementation of DiffDock-Pocket: Diffusion for Pocket-Level Docking with Side Chain Flexibility

computational-biology diffusion-models drug-discovery generative-ai machine-learning molecular-docking

Last synced: 26 Oct 2025

https://github.com/ianramzy/stock-news-analysis

📰 Web app built with Flask that given a stock ticker will scrape dozens of articles off of Nasdaq.com and run them through a machine learning model for analysis.

flask machine-learning news python scraping stock

Last synced: 03 Mar 2026

https://github.com/PrimozGodec/ImageColorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained

artificial-intelligence colorization datamining image-colorization machine-learning neural-network

Last synced: 07 May 2025

https://github.com/qbicz/real-time-shape-detection

CV/AI: use ARM Mali GPU on ODROID-XU4 single-board computer + OpenCL acceleration to achieve real time shape and orientation detection of fast moving objects

basler camera computer-vision linux-embedded machine-learning machine-vision opencv sbcomputers shape-detection

Last synced: 20 Jun 2025

https://github.com/evanhalley/tensorandflow

Example code and graph for article on deploying a machine learning model in an Android app.

android machine-learning tensorflow tensorflow-tutorials

Last synced: 30 Aug 2025

https://github.com/undera/chess-engine-nn

Chess engine that uses neural network to decide on moves

chess machine-learning neural-network python

Last synced: 11 Apr 2025

https://github.com/declare-lab/mm-align

[EMNLP 2022] This repository contains the official implementation of the paper "MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences"

machine-learning multimodal-deep-learning multimodal-sentiment-analysis natural-language-processing optimal-transport

Last synced: 14 Apr 2025

https://github.com/sap-samples/acl2020-commonsense

Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.

commonsense-reasoning contrastive deep-learning machine-learning nlp sample sample-code self-supervised

Last synced: 13 Apr 2025

https://github.com/engineeringsoftware/coditt5

CoditT5: Pretraining for Source Code and Natural Language Editing

machine-learning pretrained-language-model software-engineering

Last synced: 12 May 2025

https://github.com/lolleko/mesh-data-synthesizer

Uses Unreal Engine & Cesium to generate large synthetic dataset from 3D meshes. Enables machine learning tasks like Visual Place Recognition read more in our paper on this: https://meshvpr.github.io

cesium data geospatial machine-learning mesh place-recognition synthesis synthesizer ue5 unreal-engine

Last synced: 28 Apr 2025

https://github.com/adeeteya/tennis-serve-analysis

The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision techniques, the app provides users with personalized feedback of their serves.

flutter flutter-app flutter-apps flutter-examples machine-learning mobile-app movenet movenet-thunder pose-estimation sports sports-analytics tennis tennis-game tensorflow

Last synced: 02 May 2025

https://github.com/alessandrocorradini/harvard-data-science-professional

Repository for the Data Science Professional Program from Harvard University on edX

data-analysis data-science datascience edx harvardx machine-learning machinelearning mooc moocs r r-language

Last synced: 13 Jul 2025

https://github.com/mattdl/continualevaluation

[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.

avalanche continual-evaluation continual-learning deep-learning lifelong-learning machine-learning pytorch stability-gap

Last synced: 14 Apr 2025

https://github.com/yuhui-zh15/c3

Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)

computer-vision contrastive-learning iclr2024 machine-learning natural-language-processing

Last synced: 14 Apr 2025

https://github.com/skblaz/san

Attention-based feature ranking for propositional data.

attention-mechanism deep-neural-networks feature-ranking machine-learning

Last synced: 23 Jul 2025

https://github.com/steven2358/sklearn-matlab

Machine learning in Matlab using scikit-learn syntax

machine-learning matlab scikit-learn

Last synced: 10 Apr 2025

https://github.com/knazeri/coursera

Coursera's Machine/Deep Learning assignments

deep-learning machine-learning neural-networks

Last synced: 15 Oct 2025

https://github.com/amadeusitgroup/cpmml

cPMML is C++ library for scoring machine learning models serialized with the Predictive Model Markup Language (PMML)

ai data-science machine-learning ml model-deployment model-scoring pmml

Last synced: 25 Apr 2025

https://github.com/kubegems/modelx

A simple, High-Performance, Scalable ML/DL Models Repository based on OCI Artifacts

deep-learning image kubegems kubernetes machine-learning modelx oci repository

Last synced: 11 Mar 2026

https://github.com/justinmeiners/why-train-when-you-can-optimize

Learn multi-variable optimization by creating a drawing assistant. No deep learning required!

canvas deep-learning graphics machine-learning numerical-methods optimization

Last synced: 04 Feb 2026

https://github.com/ramtinms/tokenquery

TokenQuery (regular expressions over tokens)

machine-learning natural-language-processing nlp regex regular-expressions

Last synced: 28 Apr 2025

https://github.com/slickml/slick-ml

SlickML 🧞: Slick Machine Learning in Python

data-science machine-learning python

Last synced: 17 Mar 2026

https://github.com/nikunj-gupta/fcmadrl

Fully Cooperative Multi-Agent Deep Reinforcement Learning

ddpg dqn machine-learning multiagent-systems reinforcement-learning

Last synced: 03 Jun 2026

https://github.com/dayyass/graph-based-clustering

Graph-Based Clustering using connected components and spanning trees.

clustering data-science graph graph-algorithms hacktoberfest machine-learning python sklearn

Last synced: 03 Mar 2026

https://github.com/noahgift/devml

Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity

ai churn-statistics data-science defects git github jupyter-notebook machine-intelligence machine-learning pandas productivity python seaborn visualization

Last synced: 01 Mar 2026

https://github.com/biolab/orange3-educational

🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.

algorithm coursera data-mining machine-learning machine-learning-algorithms orange teaching udacity university-course visualization

Last synced: 14 Aug 2025

https://github.com/abdullahselek/spampy

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

enron-spam-dataset machine-learning numpy scipy sklearn sklearn-classify spam-classification support-vector-machines

Last synced: 21 Aug 2025

https://github.com/njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

broom decision-trees gbm machine-learning randomforest rpart rstats statistical-learning

Last synced: 21 Mar 2025

https://github.com/dereklstinson/gocudnn

Go Bindings for cudnn and other cuda pacakges.

convolutional-neural-networks cuda cudnn go golang machine-learning neural-network

Last synced: 24 Jul 2025

https://github.com/mauroandretta/aifootballpredictions

AIFootballPredictions is an ML-based system to predict if a football match will have over 2.5 goals. Using historical data from top European leagues (Serie A, EPL, Bundesliga, La Liga, Ligue 1), it employs advanced feature engineering and model training techniques to provide accurate predictions. Perfect for sports analytics enthusiasts.

data-science football football-analytics football-prediction machine-learning prediction predictive-modeling soccer soccer-analytics

Last synced: 04 Apr 2025

https://github.com/philipperemy/tensorflow-grid-lstm

Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)

deep-learning lstm machine-learning recurrent-neural-networks tensorflow time-series

Last synced: 08 Jul 2025

https://github.com/rasbt/posit2023-python-ml

Workshop materials for posit::conf(2023)

ai deep-learning machine-learning python

Last synced: 01 May 2025

https://github.com/Mattdl/ContinualEvaluation

[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.

avalanche continual-evaluation continual-learning deep-learning lifelong-learning machine-learning pytorch stability-gap

Last synced: 08 May 2025

https://github.com/maxhalford/starboost

:star::rocket: Gradient boosting on steroids

gradient-boosting machine-learning python scikit-learn

Last synced: 01 May 2025

https://github.com/t-systems-on-site-services-gmbh/german-elmo-model

This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.

bilm elmo embedding german machine-learning nlp python tensorflow

Last synced: 10 Jul 2025

https://github.com/Scitator/animus

Minimalistic framework to run machine learning experiments.

deep-learning jax keras machine-learning pytorch reinforcement-learning tensorflow

Last synced: 08 May 2025

https://github.com/RuntianZ/doro

Distributional and Outlier Robust Optimization (ICML 2021)

distributional-shift fairness machine-learning

Last synced: 08 May 2025

https://github.com/cpury/lstm-math

Neural network that solves math equations on the character level

deep-learning keras lstm machine-learning python seq2seq tensorflow

Last synced: 30 Apr 2025

https://github.com/filipbasara0/simple-clip

A minimal, but effective implementation of CLIP (Contrastive Language-Image Pretraining) in PyTorch

contrastive-learning deep-learning machine-learning multi-modal-learning pytorch representation-learning self-supervised-learning siglip zero-shot-classification

Last synced: 11 Apr 2025

https://github.com/lejon/PartiallyCollapsedLDA

Implementations of various fast parallelized samplers for LDA, including Partially Collapsed LDA, Light LDA, Partially Collapsed Light LDA and a very efficient Polya-Urn LDA

lda machine-learning machine-learning-algorithms machinelearning

Last synced: 03 May 2025

https://github.com/ibm/max-text-summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 04 Oct 2025

https://github.com/oracle/sandwood

Sandwood - A JVM based Java like Probabilistic Programming Language

compiler java machine-learning ml probabilistic-models probabilistic-programming runtime

Last synced: 17 Aug 2025

https://github.com/claczny/vizbin

Repository of our application for human-augmented binning

binning bioinformatics java machine-learning metagenomics visualisation

Last synced: 20 Aug 2025

https://github.com/ashishpatel26/meta-learning-

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

andrew-ng appliedaicourse chainer cnn coursera deeplearning dl ensemble ensemble-learning keras machine-learning metalearning ml pytorch tensorflow

Last synced: 14 May 2025

https://github.com/muhamuttaqien/AI-Lab

🔬 Absolutely comfort lab for me to work around with my own AIs and to empirically observe how powerful and impactful these technologies are. I do love these technologies!

artificial-intelligence autonomous-systems computer-vision deep-learning machine-learning natural-language-processing reinforcement-learning robotics

Last synced: 14 Mar 2025

https://github.com/IBM/MAX-Text-Summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 13 May 2025

https://github.com/khamidieh/predict_tc

Predict the Critical Temperature of a Superconductor

machine-learning solid-state-chemistry solid-state-physics superconductivity

Last synced: 22 Jul 2025

https://github.com/llnl/muygpys

A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

machine-learning math-physics python scientific-computing

Last synced: 02 Apr 2025

https://github.com/serkor1/slmetrics

A high-performance R :package: for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

armadillo armadillo-library artificial-intelligence cpp cran cran-r data-analysis data-science eigen3 machine-learning performance-metrics r r-package r-stats rcpp rcpparmadillo rcppeigen statistics supervised-learning

Last synced: 18 Feb 2026

https://github.com/boost-R/gamboostLSS

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

boosting-algorithms cran gamboostlss gamlss machine-learning r-language r-package variable-selection

Last synced: 04 Feb 2026

https://github.com/hoangsonww/rag-langchain-ai-system

🧠 This repository features an agentic, Retrieval-Augmented Generation (RAG) system powered by LangChain, FAISS, Hugging Face, and Ollama, running in Google Colab for portfolio support. It integrates document retrieval, dynamic entity extraction, and external API calls to generate context-aware responses with an interactive AI assistant.

bert expressjs faiss flask google-colab huggingface langchain langchain-python language-model llama2 llm machine-learning ngrok ollama ollama-api python rag retrieval-augmented-generation transformers typescript

Last synced: 14 Apr 2025

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

A high level abstraction library designed for effortless tabular data based tasks.

classification deep-learning machine-learning neural-network python rust tabular-data

Last synced: 18 Jan 2026

https://github.com/santiagxf/prometheus

Prometheus is a machine learning powered solution for early detection of fires in national parks

alexnet cntk deep-learning detection drones fire machine-learning transfer-learning

Last synced: 24 Apr 2025

https://github.com/vocalpy/hybrid-vocal-classifier

a Python machine learning library for animal vocalizations and bioacoustics

birdsong keras machine-learning python scikit-learn tensorflow

Last synced: 19 Jan 2026

https://github.com/aqibsaeed/research-paper-categorization

Research paper classification using machine learning and NLP

machine-learning nlp text-classification

Last synced: 12 Oct 2025

https://github.com/societe-generale/aikit

Automated machine learning package

automl data-science machine-learning python

Last synced: 15 Jul 2025

https://github.com/IBM/MAX-Inception-ResNet-v2

Identify objects in images using a third-generation deep residual network.

docker-image imagenet-classifier keras machine-learning machine-learning-models

Last synced: 13 May 2025

https://github.com/davidalami/VulnMapAI

VulnMapAI combines the power of nmap’s detailed network scanning and the advanced natural language processing capabilities of GPT-4 to generate comprehensive and intelligible vulnerability reports. It aims to facilitate the identification and understanding of security vulnerabilities.

hacking hackthebox hacktoberfest machine-learning penetration-testing port-scanning security tryhackme vulnerability-scanners

Last synced: 07 Sep 2025

https://github.com/wassname/satellite_leak_detection

Detect water leaks from satellite images using machine learning

drinking-water machine-learning satellite-images

Last synced: 15 Apr 2025

https://github.com/dorsaroh/transformer-from-scratch

Complete transformer from scratch, using only numpy

generative-ai machine-learning numpy transformer

Last synced: 26 Jun 2026

https://github.com/autonomio/autonomio

Core functionality for the Autonomio augmented intelligence workbench.

artificial-intelligence datascience deep-learning hyperscan keras lstm machine-learning mlp neural-network spacy tensorflow wrangling

Last synced: 10 Jul 2025

https://github.com/rainingcomputers/pykitml

Machine Learning library written in Python and NumPy.

deep-learning machine-learning neural-network numpy python-library random-forest

Last synced: 19 Mar 2025