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/lucastheis/trlda

Implementations of various online inference algorithms for LDA, with Python interface.

lda machine-learning python topic-modeling variational-inference

Last synced: 16 Mar 2026

https://github.com/wilfredpine/python-tutorial

Notebook tutorials for Python Programming Language (Fundamentals, OOP, MVT, Frameworks, Django, Machine Learning, NLP)

ai computer-vision data-analytics data-science django-framework fundamentals machine-learning nlp oop python web web-development

Last synced: 14 Oct 2025

https://github.com/elliotwutingfeng/spamdexingsites

URL feed for blocking spamdexing websites. Let's banish them to the rubbish bin where they belong!

adblock blocklist content-farm dnsbl machine-learning malvertising malware osint pfblockerng pihole spam ublacklist

Last synced: 29 Apr 2025

https://github.com/awslabs/bedrock-vscode-playground

Explore and experiment with large language models (LLMs) available in Amazon Bedrock

education machine-learning programming-language

Last synced: 21 Feb 2026

https://github.com/otonomee/streamstem

Implements ML audio separation algorithm on audio from YouTube or Spotify resulting in "stems" for download (e.g. vocals, drums, bass) in MP3, WAV or FLAC.

audio-classification deep-learning demucs fastapi machine-learning source-separation spotify-stemmer youtube-stemmer

Last synced: 26 Oct 2025

https://github.com/ahammadmejbah/pytorch-developers-roadmap

PyTorch is an open-source machine learning framework that provides a flexible platform for building, training, and deploying deep learning models. It is widely used for research and development in artificial intelligence, offering dynamic computation, GPU acceleration, and a rich ecosystem of libraries and tools.

ai data-science deep-learning developer machine-learning python python3 pytroch

Last synced: 27 Apr 2025

https://github.com/ahammadmejbah/ahammadmejbah

Data Science || Machine Learning || Deep Learning || Computer Vision || NLP Enthusiast Talks about #datascience, #deeplearning, #dataanalytics, #machinelearning, and #machinelearningalgorithms

artificial-intelligence computer-vision data-science deep-learning machine-learning nlp python

Last synced: 27 Apr 2025

https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn

Last synced: 08 Oct 2025

https://github.com/bdwilliamson/vimpy

Perform inference on algorithm-agnostic variable importance in Python

machine-learning nonparametric-statistics statistical-inference variable-importance

Last synced: 14 Jan 2026

https://github.com/dgac/acropole

This repository contains the Acropole model for aircraft fuel flow prediction and Python packages for aircraft trajectory processing and fuel flow enhancement.

air-traffic-management aircraft-performance artificial-intelligence environment machine-learning

Last synced: 16 Mar 2026

https://github.com/guildai/guildai-r

Track machine learning experiments

deep-learning keras machine-learning

Last synced: 26 Oct 2025

https://github.com/gasteigerjo/lcn

Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

kernel-approximation machine-learning optimal-transport paper

Last synced: 28 Feb 2026

https://github.com/idiap/zff_vad

Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering

audio-processing machine-learning noise-robust signal-processing speech-activity-detection voice-activity-detection

Last synced: 05 Oct 2025

https://github.com/valohai/tensorflow-example

TensorFlow examples for Valohai platform

machine-learning tensorflow

Last synced: 20 Oct 2025

https://github.com/QuantiusBenignus/BlahST

Input text from speech in any Linux window, the lean, fast and accurate way, using whisper.cpp offline.

accessibility ai bloat-free bloatfree cli command-line command-line-tool desktop-integration gnome kiss llm machine-learning no-nonsense speech-recognition speech-to-text whisper whisper-cpp

Last synced: 11 Mar 2025

https://github.com/lanterndata/lantern_extras

Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables

ai database image-processing knn machine-learning open-source postgres postgresql rust vector ycombinator

Last synced: 07 Oct 2025

https://github.com/luizgh/avc_nips_2018

Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge

adversarial-examples machine-learning

Last synced: 10 Apr 2025

https://github.com/xai-demonstrator/xai-demonstrator

The XAI Demonstrator is a modular platform that lets users interact with production-grade Explainable AI (XAI) systems.

ai docker explainable-ai fastapi huggingface-transformers keras machine-learning mobile-first pytorch tensorflow vuejs xai

Last synced: 01 Sep 2025

https://github.com/brandondocusen/cntxtjv

A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization

architecture-insights code-documentation code-visualization codebase-analysis context-management context-window dependency-analysis dependency-mapping developer-tools knowledge-graph large-language-models llm llm-integration machine-learning module-relationships open-source python python-frameworks spring token-reduction

Last synced: 10 Apr 2025

https://github.com/wallarm/wallnet

Open-source code to support BSides 2019's talk: Bye-Bye False Positives: Using AI to Improve Detection

cybersecurity machine-learning tensorflow

Last synced: 10 Jun 2025

https://github.com/apssouza22/computer-vision

A collection of computer vision projects

computer-vision deep-learning machine-learning

Last synced: 18 Jan 2026

https://github.com/ahmetfurkandemir/online-istanbul-applied-data-science-102-bootcamp

Online Istanbul Applied Data Science 102 Bootcamp (Start : 15 August, Finish : 7 November)

bootcamp data-science deep-learning kodluyoruz machine-learning

Last synced: 15 Apr 2025

https://github.com/mohammed-majid/ml_roadmap

Comprehensive Machine Learning Roadmap

algorithms data-science deep-learning machine-learning roadmap

Last synced: 06 Mar 2025

https://github.com/jan-janssen/gmailsorter

Similarity based email sorting for Google Mail using RandomForest classifiers

google-mail-api machine-learning python random-forest-classifier

Last synced: 11 Apr 2026

https://github.com/bobmcdear/flaim

Flax Image Models - State-of-the-art pre-trained vision backbones for Flax.

computer-vision deep-learning flax jax machine-learning

Last synced: 01 Mar 2026

https://github.com/trainingbypackt/professional-azure-sql-database-administration-second-edition

Equip yourself with the skills required to manage and maintain data on the Cloud.

azure database dtu georeplication machine-learning powershell sql ssms

Last synced: 03 Jul 2025

https://github.com/msusazureaccelerators/intelligent-document-processing-accelerator

Showcase Azure platform’s machine learning capability to recognize document type, extract required fields and push data to downstream applications, significantly reducing manual efforts and creating smoother customer experience. with the Microsoft Intelligent Document Processing (Document Process Automation) Accelerator.

machine-learning microsoft ml solution-accelerator

Last synced: 12 Apr 2025

https://github.com/biomedsciai/dpm360

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

deep-learning healthcare machine-learning ohdsi omop python pytorch sklearn

Last synced: 24 Oct 2025

https://github.com/kenethgarcia/classipygrb

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

astrophysics grbs machine-learning machine-learning-algorithms unsupervised-learning unsupervised-machine-learning

Last synced: 30 Oct 2025

https://github.com/iitzco/deepzoo

:wolf: :tiger: :whale2: :elephant: :monkey: Deep Learning model Zoo

artificial-intelligence deep-learning machine-learning modelzoo python

Last synced: 05 May 2025

https://github.com/octalpixel/skin-extraction-from-image-and-finding-dominant-color

Project is an implementation of skin segmentation using OpenCV and dominant color extraction using SciKit-Learn

image-processing kmeans kmeans-clustering machine-learning opencv python scikit-learn

Last synced: 12 Apr 2025

https://github.com/yashksaini-coder/multivariate-logistic-regression---telecom-churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/yashksaini-coder/multi-class-prediction-of-obesity-risk

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

lgbm lgbmregressor machine-learning machine-learning-algorithms pipeline prediction prediction-model supervised-learning supervised-machine-learning xgb-regressor xgboost

Last synced: 11 Apr 2025

https://github.com/artitw/bert_qa

Accelerating the development of question-answering systems based on BERT and TF 2.0

artificial-intelligence bert machine-learning natural-language-processing natural-language-understanding nlp

Last synced: 21 Mar 2025

https://github.com/dhruvesh13/audio-genre-classification

Automatic music genre classification using Machine Learning algorithms like- Logistic Regression and K-Nearest Neighbours

audio-gene logistic-regression machine-learning mfcc python-2

Last synced: 22 Aug 2025

https://github.com/pedrohserrano/machine-learning-use-cases

Machine Learning Notebooks with Turicreate and Keras in a Docker Container

deep-learning docker machine-learning notebook

Last synced: 10 Apr 2025

https://github.com/abhaskumarsinha/minimalgpt

MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.

ai artificial-intelligence fine-tuning generative-model gpt gpt-2 gpt-models keras keras-tensorflow language-model llm machine-learning neural-network nlp nlp-machine-learning tensorflow tensorflow2 training transformer transformer-architecture

Last synced: 11 Jul 2025

https://github.com/dkoguciuk/mesh2pointcloud

A mini scripts to sample ModelNet40 or ShapeNetCore55v2 meshes into 3D point clouds

3d data deep-learning machine-learning

Last synced: 20 Mar 2025

https://github.com/fracpete/collective-classification-weka-package

Semi-Supervised Learning and Collective Classification

java machine-learning plugin semi-supervised-learning weka

Last synced: 22 Apr 2025

https://github.com/apexrl/codail

Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>

imitation-learning machine-learning multi-agent-reinforcement-learning

Last synced: 07 Apr 2025

https://github.com/qiushisun/statistical-methods-and-machine-learning

2021 Spring (Statistical Methods and Machine Learning) 统计方法与机器学习

anova ecnu-dase linear-regression machine-learning mnist-handwriting-recognition statistics

Last synced: 20 Aug 2025

https://github.com/changhuixu/lstm-sentiment-analysis

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

dictionary l1-lstm lstm lstm-layes machine-learning review sentiment sentiment-analysis

Last synced: 20 Aug 2025

https://github.com/alessandrocorradini/harvard-data-analysis-for-life-science-xseries

Lectures, Code and Quizzes for the Data Science for Life Science XSeries

data-analysis datascience edx harvardx machine-learning

Last synced: 02 Jan 2026

https://github.com/quantiusbenignus/blahst

Input text from speech in any Linux window, the lean, fast and accurate way, using whisper.cpp offline.

accessibility ai bloat-free bloatfree cli command-line command-line-tool desktop-integration gnome kiss llm machine-learning no-nonsense speech-recognition speech-to-text whisper whisper-cpp

Last synced: 04 Oct 2025

https://github.com/omarsar/machine_learning_fundamentals

:green_book: Machine Learning - A Friendly Handbook :green_book: (Open Notes)

book handbook machine-learning neural-network

Last synced: 03 Jan 2026

https://github.com/kyegomez/eaot

The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"

artificial-intelligence gpt4 llama llama2 machine-learning prompt-engineering prompting

Last synced: 29 Jul 2025

https://github.com/fbruzzesi/sklearn-smithy

Toolkit to forge scikit-learn compatible estimators

cli data-science machine-learning python scikit-learn webui

Last synced: 16 Sep 2025

https://github.com/BiomedSciAI/DPM360

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

deep-learning healthcare machine-learning ohdsi omop python pytorch sklearn

Last synced: 09 Aug 2025

https://github.com/microsoft/masc

Microsoft's contributions for Spark with Apache Accumulo

accumulo apache big-data machine-learning spark

Last synced: 02 Oct 2025

https://github.com/nanowell/differential-transformer-pytorch

PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model similar to large language models (LLMs). The architecture incorporates a novel Differential Attention mechanism, Multi-Head structure, RMSNorm, and SwiGLU.

differential-transformer large-language-models machine-learning pytorch

Last synced: 31 Jul 2025

https://github.com/srzstephen/disavu

A disaster response solution that helps allocate resources to where they're needed.

amazon-sagemaker-lab aws disaster-response fastai2 machine-learning python rust rust-lang sagemaker-studio-lab typescript

Last synced: 11 Apr 2025

https://github.com/yashksaini-coder/codsoft

This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction

codsoft codsoft-internship codsoftinternship machine-learning machine-learning-algorithms

Last synced: 11 Apr 2025

https://github.com/msesia/chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

conformal-prediction machine-learning quantile-regression regression uncertainty-quantification

Last synced: 30 Oct 2025

https://github.com/nasaharvest/crop-maml

Learning to predict crop type from heterogeneous sparse labels using meta-learning

agriculture machine-learning meta-learning remote-sensing

Last synced: 06 Mar 2026

https://github.com/rasbt/b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 05 May 2025

https://github.com/sanidhyy/quill

Quill is an open-source software to make chatting to your PDF files easy.

ai artifical-intelligence css html js kinde machine-learning next nextjs quill react shadcn-ui tailwindcss typescript vercel

Last synced: 13 Apr 2025

https://github.com/jonathanwenger/pycalib

Non-Parametric Calibration for Classification (AISTATS 2020)

aistats-2020 machine-learning neural-networks probability-calibration

Last synced: 11 Apr 2025

https://github.com/aaltoml/periodicbnn

Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)

activation-functions deep-learning machine-learning neural-network

Last synced: 17 Jan 2026

https://github.com/mainakrepositor/selfdriver

A self learning AI car that learns about obstacles and direction control in real time training and gradually gets more accurate in avoiding collisions

artificial-intelligence deployment javascript machine-learning netlify reinforcement-learning website

Last synced: 28 Feb 2026

https://github.com/san089/big_data_project

Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

classifiers ensemble-model fakenewsdetection machine-learning news-classification scikit-learn text-mining textclassification vectorization vectorizers

Last synced: 13 Mar 2026

https://github.com/roboflow/roboflow-api-snippets

repo for versioning snippets that show how to use Roboflow APIs

api computer-vision examples inference machine-learning roboflow

Last synced: 06 Jul 2025

https://github.com/hummat/saliency

PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.

deep-learning deep-learning-algorithms deep-neural-networks grad-cam guided-backpropagation integrated-gradients machine-learning machine-learning-algorithms pytorch saliency smoothgrad xrai

Last synced: 04 Oct 2025

https://github.com/eshikashah/skillship-internship-data-science-projects

Utilized this lockdown to do something productive. SkillShip foundation provided and internship opportunity and here's the outcome. The projects made by me in these 2 months.

classification data-science internship machine-learning regression

Last synced: 28 Jul 2025

https://github.com/ubccr/terf

Go library for reading/writing TensorFlow TFRecords file format

golang machine-learning tensorflow-examples

Last synced: 27 Jul 2025

https://github.com/owlbarn/owl_symbolic

Connect Owl with other accelerators and numerical frameworks with symbolic maths

algebra gpu-computing machine-learning neural-networks numerical onnx scientific-computing symbolic-math

Last synced: 22 Jun 2025

https://github.com/fschlatt/clubs

python poker engine for arbitrary community card poker games

blinds clubs community-cards machine-learning poker poker-game python raise-sizes reinforcement-learning

Last synced: 16 Jan 2026

https://github.com/heet9022/recruitai

Recruitment Assisting platform which will help recruiters filter out resumes for a particular job profile

linkedin-scraper machine-learning recruiter resume-classfier

Last synced: 23 Sep 2025

https://github.com/robertklee/kitti-roadseg

A course project for road segmentation using a U-Net Convolutional Neural Network on the KITTI ROAD 2013 dataset

computer-vision image-segmentation kitti-dataset machine-learning neural-network road-segmentation

Last synced: 12 Sep 2025

https://github.com/lucko515/dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

dimensionality-reduction kernel-pca lda machine-learning pca tsne

Last synced: 14 Apr 2025

https://github.com/pkestene/ms-hpc-ai-gpu

resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

cuda deep-learning gpu gpu-computing machine-learning physics-informed-neural-networks pinn pinns

Last synced: 19 Aug 2025

https://github.com/ruisiang/face2id

Project to quickly transform face biometrics into UUIDs

biometrics face-recognition identification machine-learning nodejs

Last synced: 20 Jun 2025

https://github.com/muzzammilshah/road-to-ai

A structured documentation hub for AI and ML concepts, based on Andrej Karpathy's 'Zero to Hero' series, featuring practical implementations and learning resources for language models and transformers.

artificial-intelligence character-level-language-model documentation gpt language-model machine-learning neural-networks python3 pytorch

Last synced: 03 Mar 2026

https://github.com/bpesquet/pyfit

A minimalist neural networks library built on a tiny autograd engine

autodifferentiation machine-learning neural-networks python

Last synced: 02 Apr 2026

https://github.com/davidmcneil/mnist

MNIST data set parser https://crates.io/crates/mnist

image-recognition machine-learning mnist

Last synced: 05 Mar 2026

https://github.com/polakowo/mlprojects

Some of my ML projects and Kaggle competitions

fastai machine-learning pytorch sklearn tensorflow

Last synced: 07 May 2025

https://github.com/zetavg/twlm

Taiwanese Mandarin LLM Project

llm machine-learning

Last synced: 20 Aug 2025

https://github.com/mapbox/gabbar

Guarding OpenStreetMap from harmful edits using machine learning

banished jupyter-notebook machine-learning openstreetmap scikit-learn vandalism

Last synced: 12 Apr 2025