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/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

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/serhaturtis/tool-fastbatchimagecrop

A simple UI tool to batch crop images to prepare datasets from images and videos.

cropping-images dataset-generation extract-data gui image-classification machine-learning python stable-diffusion ui

Last synced: 12 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/dawievlill/datascience-871

Data science module for economists written mostly in Julia and R

data-analysis data-science machine-learning

Last synced: 27 Feb 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/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: 10 Mar 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/ubclaunchpad/minutes

:telescope: Speaker diarization via transfer learning

library machine-learning python speaker-diarization speech transfer-learning ubc

Last synced: 15 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/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/societe-generale/aikit

Automated machine learning package

automl data-science machine-learning python

Last synced: 15 Jul 2025

https://github.com/mati365/neural-cars

🚗 Neural network 2D cars ray collision detection using ML genetic training algorithm

canvas cars game genetic-algorithm machine-learning neural-cars neural-network react

Last synced: 24 Apr 2025

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/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/qwenlm/parscale

Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling

large-language-models llm machine-learning scaling-law

Last synced: 12 Jun 2025

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/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/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/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/SOM-Research/DescribeML

DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.

data-science dataset-generation datasets describeml langium machine-learning model-driven modeling open-data open-datasets visual-studio-code vscode

Last synced: 25 Oct 2025

https://github.com/havakv/torchtuples

Training neural networks in PyTorch

deep-learning machine-learning neural-network python pytorch

Last synced: 10 Apr 2025

https://github.com/davidnyarko123/edge-tpu-silva

Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.

coral-tpu edge-computing fps machine-learning model-inference object-detection pycoral raspberry-pi raspberry-pi-4

Last synced: 28 Oct 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/liyucheng09/metaphorframe

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. Presented at EACL 2023.

deep-learning machine-learning metaphor-detection

Last synced: 26 Mar 2025

https://github.com/wellflat/opencv-samples

OpenCV sample codes (C++/Python)

computer-vision cpp machine-learning opencv python

Last synced: 21 Mar 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/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/stevenabreu7/handson_reservoir

Repository for paper "Hands-on reservoir computing" (NCE, 2022)

machine-learning physical-computing reservoir reservoir-computing tutorial

Last synced: 14 Apr 2025

https://github.com/ap6yc/adaptiveresonance.jl

A Julia package for Adaptive Resonance Theory (ART) algorithms.

julia machine-learning

Last synced: 14 Apr 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/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/Azure/aml-run

GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.

aml azure azure-machine-learning data-science machine-learning mlops

Last synced: 29 Jul 2025

https://github.com/mrousavy/brabenetz

🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores

algorithm artificial-intelligence biases cpp cpu digit-recognizer linux machine-learning neural-network neurons nuget scalability supervised-neural-network xor

Last synced: 06 Apr 2025

https://github.com/kxsystems/automl

Automated Machine Learning Framework for kdb+

automated-machine-learning kdb machine-learning q

Last synced: 25 Jan 2026

https://github.com/IBM/MAX-News-Text-Generator

Generate English-language text similar to the news articles in the One Billion Words data set.

docker-image machine-learning machine-learning-models

Last synced: 13 May 2025

https://github.com/longmaoteamtf/keras_ernie

Pre-trained ERNIE models could be loaded with Keras for feature extraction and prediction.

ernie keras machine-learning

Last synced: 23 Apr 2025

https://github.com/kjappelbaum/ml_molsim

Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)

hands machine-learning mof tutorial

Last synced: 21 Apr 2025

https://github.com/charlescao460/MapleStoryDetectionSampleGenerator

Generate object detection samples from MapleStory in different formats (COCO, TFRecord, darknet...)

annotation-tool coco darknet machine-learning maplestory object-detection tensorflow

Last synced: 20 Apr 2025

https://github.com/beegass/self-taught-machine-learning

I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.

lecture linear-regression machine-learning statistical-learning support-vector-machine

Last synced: 21 Sep 2025

https://github.com/yujiabao/r2a

"Deriving Machine Attention from Human Rationales" EMNLP 2018

attention-mechanism emnlp2018 interpretable-machine-learning machine-learning

Last synced: 01 May 2026

https://github.com/younes-charfaoui/ml-projects

Machine Learning Projects 🙍‍♂️, code and data sets for different kind of problems 🔥.

deep-learning kaggle-competition keras machine-learning matplotlib reinforcement-learning sklearn supervised-learning tensorflow unsupervised-learning

Last synced: 09 Jul 2025

https://github.com/RAMshades/AcousticsML

Tutorial on using machine learning for acoustics. This tutorial covers a wide range of machine learning approaches for acoustic applications.

acoustics machine-learning

Last synced: 01 Sep 2025

https://github.com/djangopeng/aml-101

微软机器学习(Azure Machine Learning)快速入门与实战

aml azureml deep-learning machine-learning

Last synced: 12 Apr 2025

https://github.com/lukashedegaard/continual-skeletons

Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"

continual-inference convolutional-neural-networks deep-learning graph-neural-networks machine-learning online-inference skeleton-based-action-recognition

Last synced: 14 Jul 2025

https://github.com/masterscrat/rl-insights

🤖 Reinforcement Learning paper summaries, notebooks, and articles.

machine-learning reinforcement-learning

Last synced: 21 Mar 2025

https://github.com/sidgupta234/codingninjas_datascience_machinelearning

The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science.

data-science jupyter-notebook machine-learning python-3

Last synced: 25 Oct 2025

https://github.com/franciellevargas/HateBR

HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.

brazilian-portuguese dataset hatespeech-detection machine-learning natural-language-processing text-classification

Last synced: 30 Apr 2025

https://github.com/probabl-ai/sklearn-ragger-duck

A proof-of-concept for a RAG to query the scikit-learn documentation

generative-ai machine-learning rag scikit-learn

Last synced: 11 Apr 2025

https://github.com/martinnormark/neural-mesh-simplification

Un-official and WIP Implementation of the Neural Mesh Simplification paper

3d 3d-modelling machine-learning mesh mesh-processing mesh-simplification pytorch pytorch-geometric

Last synced: 06 Apr 2026

https://github.com/juliaai/imbalance.jl

A Julia toolbox with resampling methods to correct for class imbalance.

class-imbalance classification machine-learning

Last synced: 10 Apr 2025

https://github.com/ailia-ai/ailia-sdk

cross-platform high speed inference SDK

deep-learning machine-learning neural-network sdk

Last synced: 20 Apr 2026

https://github.com/ibm/max-news-text-generator

Generate English-language text similar to the news articles in the One Billion Words data set.

docker-image machine-learning machine-learning-models

Last synced: 07 May 2025

https://github.com/gatenlp/gateplugin-learningframework

A plugin for the GATE language technology framework for training and using machine learning models. Currently supports Mallet (MaxEnt, NaiveBayes, CRF and others), LibSVM, Scikit-Learn, Weka, and DNNs through Pytorch and Keras.

classification crf machine-learning nlp sequence-tagging

Last synced: 06 May 2025

https://github.com/karolzak/cntk-python-web-service-on-azure

This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN

ai api-rest azure-web azure-web-app-service azure-webapp cntk cntk-model cognitive-toolkit deep-learning fasterrcnn flask image-classification kudu machine-learning ml object-detection python restful-api web-service

Last synced: 01 May 2025

https://github.com/gmontamat/poor-mans-transformers

Implement Transformers (and Deep Learning) from scratch in NumPy

deep-learning from-scratch machine-learning ml-framework neural-network nlp transformers

Last synced: 27 Mar 2025

https://github.com/juliaml/penaltyfunctions.jl

Julia package of regularization functions for machine learning

julia machine-learning penalties regularization

Last synced: 27 Oct 2025

https://github.com/klaus78/data-science-flashcards

A large collection of challenges on Data Science and Machine Learning.

data-science hacktoberfest jekyll-website machine-learning python

Last synced: 20 Aug 2025

https://github.com/nouraalgohary/graduation-project-competitions

This is a compilation of competitions that are relevant to graduation projects, along with comprehensive details about each of them.

ai android competitions computer-science graduation-project iot machine-learning mansoura-university sponsorship university

Last synced: 04 Apr 2025

https://github.com/kongzii/swiftxgboost

Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.

boosting-tree machine-learning swift swift-for-tensorflow xgboost

Last synced: 04 Sep 2025