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/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/nyuvis/partial_dependence

Python package to visualize and cluster partial dependence.

interpretability machine-learning partial-dependence-plot python-package visualization

Last synced: 14 Jan 2026

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/ramtinms/tokenquery

TokenQuery (regular expressions over tokens)

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

Last synced: 28 Apr 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/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/w4k2/problexity

The problexity is an open-source python library containing the implementation of measures describing the complexity of the classification and regression problems.

data-complexity machine-learning python software

Last synced: 17 Jan 2026

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/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/feyzaakyurek/subspace-reg

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

class-incremental-learning computer-vision continual-learning few-shot-learning image-classification incremental-learning machine-learning subspace-learning

Last synced: 18 Apr 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/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/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/sashenjayathilaka/building-a-website-with-django

Building a Website with Django (Face Detector App, Python Core Concepts, project(Excel Spreadsheets), Machine Learning with Python and BUILDING A WEBSITE WITH DJANGO

django face-detection machine-learning python

Last synced: 14 Jul 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/IndexStorm/git-rec-back

Backend code for GitHub Recommendation Extension

ai faiss flask machine-learning sbert

Last synced: 14 Jul 2025

https://github.com/ExplainableML/ACVC

Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"

computer-vision cvpr cvpr2022 cvprw cvprw2022 data-augmentation deep-learning domain-generalization l3d-ivu machine-learning pytorch single-source-domain-generalization

Last synced: 08 May 2025

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/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/steven2358/sklearn-matlab

Machine learning in Matlab using scikit-learn syntax

machine-learning matlab scikit-learn

Last synced: 10 Apr 2025

https://github.com/yeliudev/nncore

📦 A lightweight machine learning toolkit for researchers, providing common model design & learning functionalities.

deep-learning machine-learning pytorch

Last synced: 09 Aug 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/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/rasbt/posit2023-python-ml

Workshop materials for posit::conf(2023)

ai deep-learning machine-learning python

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/maxim5/cs231n-2016-winter

All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford

computer-vision convolutional-neural-networks cs231n deep-learning machine-learning

Last synced: 28 Jan 2026

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/lechmazur/deception

Benchmark evaluating LLMs on their ability to create and resist disinformation. Includes comprehensive testing across major models (Claude, GPT-4, Gemini, Llama, etc.) with standardized evaluation metrics.

ai-benchmarks ai-evaluation ai-safety ai-security claude disinformation gemini gpt4o language-model llama llm llm-benchmarking machine-learning mistral model-evaluation nlp

Last synced: 13 Oct 2025

https://github.com/csm9493/FC-AIDE-Keras

FC-AIDE: Fully Convolutional Pixel Adaptive Image Denoiser

deep-learning image-denoising machine-learning

Last synced: 02 Apr 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/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/shinmura0/autoencoder_vs_metriclearning

AutoEncoder vs Metric Learning for Anomaly Detection

anomaly-detection deep-learning keras machine-learning

Last synced: 09 Mar 2026

https://github.com/lspahija/force-multiplier

Use AI to edit your documents in real-time. Provide feedback and let the AI do all the work.

ai gpt-4 machine-learning

Last synced: 15 Aug 2025

https://github.com/athen-lab/mai

Multilayer Authenticity Identifier (MAI), a CNN model that attempts to identify synthetic AI images.

cnn cnn-classification cnn-model machine-learning pytorch

Last synced: 15 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/kaslanarian/pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类,支持缓存机制与随机傅里叶特征

machine-learning one-class-svm python random-fourier-features svm svm-classifier svm-kernel svm-regressor

Last synced: 08 May 2025

https://github.com/davipatti/birdbrain

Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.

bird-species-classification birds birdsong machine-learning python tensorflow

Last synced: 01 Apr 2025

https://github.com/jjateen/aiot-workshop

This repository contains resources, including circuit diagrams, code, and project files from the IoTics AIoT Workshop, focusing on integrating Artificial Intelligence (AI) with the Internet of Things (IoT). It features hands-on projects exploring sensor integration, cloud services, machine learning, and robotics.

adafruit-io aiot arduino blynk cloud-integration computer-vision cpp deep-learning embedded-systems esp32 gesture-recognition haar-cascade iot machine-learning mediapipe object-detection python sensor-data surveillance wokwi

Last synced: 14 Oct 2025

https://github.com/norskregnesentral/skchange

skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms

anomaly-detection change-detection machine-learning statistics time-series-segmentation

Last synced: 16 Apr 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/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/haleshot/marimo-tutorials

Collection of marimo tutorials which encompass notebook/app examples in varying domains - CS/AI/ML

artificial-intelligence computer-vision data-science image-processing jax llm machine-learning marimo marimo-notebook pytorch recommender-system tensorflow

Last synced: 07 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/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/pnnl/ddks

A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions

machine-learning physics statistics

Last synced: 25 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/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/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: 04 Oct 2025

https://github.com/bobld/pdfpigmlnetblockclassifier

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

classifier csharp document-layout document-layout-analysis layout-analysis lightgbm machine-learning ml-net pdf pdf-document pdf-document-processor pdfpig publaynet

Last synced: 14 Apr 2025

https://github.com/pmichel31415/p-dro

Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

dro machine-learning natural-language-processing

Last synced: 11 Mar 2026

https://github.com/ml-libs/mlserve

mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.

machine-learning mlserve model-deployment model-serving scikit-learn

Last synced: 28 Jan 2026

https://github.com/dlopezyse/ai-for-bio

A free and collaborative space for Machine Learning 🤖 applied to Biology 🧬

bioinformatics biology biotech biotechnology course data-science education large-language-models llms machine-learning notebooks python

Last synced: 28 Feb 2025

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/Haleshot/marimo-tutorials

Collection of marimo tutorials which encompass notebook/app examples in varying domains - CS/AI/ML

artificial-intelligence computer-vision data-science image-processing jax llm machine-learning marimo marimo-notebook pytorch recommender-system tensorflow

Last synced: 19 Apr 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/networks-learning/curb

Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018

control fake-news machine-learning point-processes

Last synced: 23 Apr 2025

https://github.com/vivek3141/super-mario-rl

Deep Reinforcement learning and Python learn how to play the original Super Mario Bros

deep-q-learning machine-learning mario reinforcement-learning

Last synced: 01 Apr 2025

https://github.com/alan-turing-institute/timeseriesclassification.jl

Machine Learning with Time Series in Julia

julia machine-learning time-series

Last synced: 05 May 2025

https://github.com/gully/blase

Interpretable Machine Learning for astronomical spectroscopy in PyTorch and JAX

astronomy interpretable-machine-learning machine-learning spectroscopy

Last synced: 29 Jul 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/tlverse/origami

:game_die: :crystal_ball: Comprehensive Cross-Validation Engine

cross-validation machine-learning

Last synced: 19 Feb 2026

https://github.com/mattdangerw/keras-text-generation

RNN text generation using Keras for word and character level models.

deep-learning keras machine-learning python recurrent-neural-networks text-generation

Last synced: 30 Apr 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/luiscib3r/solar-rad-forecasting

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

convolutional-neural-networks data-science deep-learning forecasting machine-learning rnn rnn-tensorflow

Last synced: 06 Mar 2026

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