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/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/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/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/RainingComputers/pykitml

Machine Learning library written in Python and NumPy.

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

Last synced: 15 Jul 2025

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/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/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/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/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/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/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/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/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/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/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/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/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/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/scitator/animus

Minimalistic framework to run machine learning experiments.

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

Last synced: 05 Sep 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

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/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/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/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/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/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/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/mewwts/feng

feng - feature engineering for machine-learning champions

feature-engineering machine-learning pandas

Last synced: 14 Jan 2026

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/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/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/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/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/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/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/tlverse/origami

:game_die: :crystal_ball: Comprehensive Cross-Validation Engine

cross-validation machine-learning

Last synced: 19 Feb 2026

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/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/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/notedance/optimizers

This project implements optimizers for TensorFlow and Keras, which can be used in the same way as Keras optimizers. Machine learning, Deep learning

deep-learning deep-reinforcement-learning deeplearning keras machine-learning machinelearning optimizer optimizer-algorithms reinforcement-learning tensorflow

Last synced: 30 Apr 2025

https://github.com/joerihermans/master-thesis

My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.

apache-spark deep-learning distributed-computing machine-learning master-thesis optimization-algorithms

Last synced: 21 Sep 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/m3dev/kannon

Kannon is a wrapper for the gokart library that allows gokart tasks to be easily executed in a distributed and parallel manner on multiple kubernetes jobs.

gokart kubernetes machine-learning mlops task-pipeline

Last synced: 16 Jan 2026

https://github.com/arthurpaulino/miraiml

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

data-science hyperparameter-optimization machine-learning python

Last synced: 19 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/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

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/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/computationalcore/fall-detection

Computer vision application that detects individual falls

deep-learning deeplearning detector inference machine-learning openvino python3

Last synced: 24 Apr 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/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/KasperskyLab/knp

Kaspersky Neuromorphic Platform

cpp machine-learning ml neural-network python spiking

Last synced: 15 Apr 2025

https://github.com/waikato/weka

Pointer to the official Weka repository.

java machine-learning weka

Last synced: 02 Aug 2025

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/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/decalogue/ai

AI ——人工智能工具集,包含机器学习,深度学习,自然语言处理

ai deep-learning dl machine-learning ml natural-language-processing nlp python

Last synced: 06 Sep 2025

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/equinor/gordo

An API-first distributed deployment system of deep learning models using timeseries data to predict the behaviour of systems

distributed-computing end-to-end machine-learning out-of-the-box scalable

Last synced: 01 May 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/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/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/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/salu133445/binarygan

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

binary-neuron generative-adversarial-network gradient-estimator machine-learning

Last synced: 25 Mar 2025

https://github.com/danielvegamyhre/autograd-for-dummies

A minimal autograd engine and neural network library for machine learning students.

machine-learning

Last synced: 25 Mar 2025

https://github.com/yinleon/pydata2017

This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries

machine-learning pydata reverse-image-search tensorflow

Last synced: 04 Sep 2025