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/guildai/guildai-r

Track machine learning experiments

deep-learning keras machine-learning

Last synced: 26 Oct 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/rifkybujana/indobert-qa

indoBERT Base-Uncased fine-tuned on Translated Squad v2.0

ai bert deep-learning huggingface indobert indonesia machine-learning question-answering

Last synced: 11 Sep 2025

https://github.com/zetavg/twlm

Taiwanese Mandarin LLM Project

llm machine-learning

Last synced: 20 Aug 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/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/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/fieg/knn

k-Nearest Neighbors algorithm in PHP

k-nearest-neighbours knn machine-learning php

Last synced: 07 Jul 2025

https://github.com/mskcc/mimsi

Microsatellite Instability Classification using Multiple Instance Learning

cancer-genomics deep-learning genomics machine-learning multiple-instance-learning

Last synced: 30 Apr 2025

https://github.com/fffaraz/ghsom-cpp

Growing Hierarchical Self-Organizing Map (GHSOM) implementation in C++

ai clustering cpp ghsom machine-learning qt som

Last synced: 10 Apr 2025

https://github.com/millengustavo/epileptic-seizure-recognition

Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

brain-activity deep-learning eeg-data eeg-signal epilepsy machine-learning

Last synced: 10 Apr 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/amirabbasasadi/rockyml

⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems

cplusplus cpp deep-learning deep-neural-networks distributed-computing high-performance machine-learning mpi optimization parallel-computing scientific-computing

Last synced: 15 Jun 2025

https://github.com/pourmand1376/persiancrawler

Open source crawler for Persian websites.

crawler machine-learning news python scrapy tasnim text-classification

Last synced: 28 Oct 2025

https://github.com/future-ai-org/desci-ai-experiments-py

👾 resources and experiments for autonomous agents (e.g., language models, reinforcement learning, energy based models)

autism chatgpt deep-learning gpt-3 machine-learning markov-chain openai quantum-ai reinforcement-learning rust supervised-machine-learning

Last synced: 30 Apr 2026

https://github.com/mad-lab-fau/tpcp

Pipeline and Dataset helpers for complex algorithm evaluation.

algorithms biosignals data-management data-science machine-learning python

Last synced: 04 Feb 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/hdmamin/jabberwocky

An Alexa skill providing a conversational interface to any public figure (as mimicked by GPT3). The legacy GUI is no longer maintained.

alexa alexa-skill audio chatbot gpt3 machine-learning python speech-recognition

Last synced: 14 Jan 2026

https://github.com/phreakyphoenix/mxnet-gluoncv-aws-coursera

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please :star2: the repo if you like it :point_up: Create an Issue or preferably a PR for any improvement. :rocket:

aws colab-notebook computer-vision coursera coursera-assignment coursera-assignment-solution deep-learning fashion-mnist gluon gluoncv image-classification machine-learning mnist-handwriting-recognition mxnet mxnet-gluon mxnet-gluon-interface mxnet-imageclassification mxnet-neural-network mxnet-notebooks object-detection

Last synced: 12 Mar 2026

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/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/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/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/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/zakroum-hicham/football-analysis-cv

This repository contains a computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, and perspective transformation to analyze player movements in football videos

ai computer-vision data-science football-analytics kmeans-clustering machine-learning opencv yolov8

Last synced: 26 Mar 2025

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/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/slimgroup/fno4co2

Learned coupled inversion with Fourier neural operators

carbon ccs deep-learning fno inversion julia machine-learning time-lapse

Last synced: 24 Jul 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/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/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/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/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/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/bastian/abstractive-summarization-of-meetings

The source code for my bachelor's thesis "Abstractive Summarization of Meetings"

abstractive-summarization bachelor-thesis bert machine-learning tensorflow texar transformer

Last synced: 23 Mar 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/spidy20/rice_disease_prediction_gui

Rice Disease Prediction App using SVM Machine learning algorithm with tkinter

deep-learning machine-learning rice-diseases rise-disease-prediction sklearn sm spidy20 tkinter-gui

Last synced: 18 Aug 2025

https://github.com/scikit-multilearn-ng/scikit-multilearn-ng

A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

classification clustering label-prediction machine-learning multi-label multi-label-classification partitioning scikit scikit-learn scikit-multilearn

Last synced: 21 Aug 2025

https://github.com/kyosek/ngboost-experiments

Play around with NGBoost and compare with LightGBM and XGBoost

boosting-algorithms house-price-prediction lightgbm machine-learning ngboost

Last synced: 15 May 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/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/apssouza22/computer-vision

A collection of computer vision projects

computer-vision deep-learning machine-learning

Last synced: 18 Jan 2026

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/radiantearth/community-sprints

This repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development

artificial-intelligence computer-vision geospatial-analysis geospatial-data global-development machine-learning satellite-imagery

Last synced: 12 Apr 2025

https://github.com/alvertogit/bigdata_docker

Big Data Docker Data Science Spark Spark4 Hadoop HDFS Scala Python Artificial Intelligence Machine Learning Jupyter Lab Notebook

big-data data-science docker jupyter-lab jupyter-notebook machine-learning python scala spark spark4

Last synced: 10 Mar 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/src-d/models

Machine learning models for MLonCode trained using the source{d} stack

machine-learning mlosc model nlp source-code

Last synced: 17 Feb 2026

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/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/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/si-cim/prototorch

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

interpretable-ai lvq machine-learning python pytorch

Last synced: 11 Apr 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/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/ybubnov/torch_geopooling

The geospatial pooling modules for neural networks in PyTorch

deep-learning deep-learning-library geospatial machine-learning python pytorch

Last synced: 01 Sep 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/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/tallamjr/barberbook

Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book

bayesian-methods book machine-learning

Last synced: 21 Jun 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/ashwinpn/containers--ml-and-cloud-computing

Everything about how to deploy projects on the cloud, run ML workloads on the HPC cluster and on the cloud and the efficient configuration and management of related collaborative platforms [e.g. container orchestration].

aws cloud cloud-computing containers deep-learning deployment docker docker-image dockerfile google google-cloud-platform k8s-cluster kubernetes kubernetes-cluster machine-learning pytorch vagrant

Last synced: 13 Apr 2025

https://github.com/bbva/mercury-robust

mercury-robust is a framework to perform robust testing on ML models and datasets. It provides a collection of test that are easy to configure and helpful to guarantee robustness in your ML processes.

machine-learning python robustness testing

Last synced: 21 Jun 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/pb2204/teachable-machine

This Is A Very Simple Live Teachable Machine Using TensorFlow.JS

ai deep-learning google machine-learning programming project teachable-machine

Last synced: 16 Jul 2025

https://github.com/vivek3141/rubiks-cube-ai

Using Deep Reinforcement Learning, a computer program learns how to solve the Rubik's Cube, the world's most popular toy.

machine-learning q-learning reinforcement-learning rubiks-cube

Last synced: 14 Mar 2025

https://github.com/maxim5/cs224n-2020-winter

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs224n deep-learning machine-learning nlp stanford-nlp

Last synced: 20 Jul 2025

https://github.com/dunnkers/fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb

Last synced: 13 Apr 2025

https://github.com/mratsim/apartment-interest-prediction

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

clustering geolocalization gradient-boosting kaggle kaggle-competition lightgbm machine-learning natural-language-processing xgboost

Last synced: 06 May 2025

https://github.com/EngineeringSoftware/roosterize

Tool for suggesting lemma names in Coq verification projects

coq deep-learning machine-learning mathcomp name-generation neural-networks pytorch serapi

Last synced: 22 Jul 2025

https://github.com/bcbi/predictmd.jl

Uniform interface for machine learning in Julia

framework interface julia learning machine machine-learning pipeline workflow

Last synced: 03 Aug 2025

https://github.com/proycon/python-timbl

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

k-nearest-neighbours knn machine-learning python timbl

Last synced: 15 Apr 2025

https://github.com/BhavyeMathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 30 Aug 2025