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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/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/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/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/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/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/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/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/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/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/mati365/neural-cars

πŸš— 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/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/ap6yc/adaptiveresonance.jl

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

julia machine-learning

Last synced: 14 Apr 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/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/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 β€” Beyond Parameter and Inference Time Scaling

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

Last synced: 12 Jun 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/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/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/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/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/mewwts/feng

feng - feature engineering for machine-learning champions

feature-engineering machine-learning pandas

Last synced: 14 Jan 2026

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/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/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/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/santiagxf/prometheus

Prometheus is a machine learning powered solution for early detection of fires in national parks

alexnet cntk deep-learning detection drones fire machine-learning transfer-learning

Last synced: 24 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/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/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/modanesh/leader

Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents

autonomous-vehicles machine-learning reinforcement-learning robotics

Last synced: 10 Apr 2025

https://github.com/sovit-123/image-deblurring-using-deep-learning

PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.

computer-vision computer-vision-neural-networks convolutional-neural-networks deep-learning deep-neural-networks deeplearning-image-deblur image-deblur image-deblurring machine-learning neural-networks pytorch

Last synced: 11 Apr 2025

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

πŸ€– Reinforcement Learning paper summaries, notebooks, and articles.

machine-learning reinforcement-learning

Last synced: 21 Mar 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/ledell/sldm4-h2o

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

autoencoder deep-learning h2o machine-learning r statistical-learning tutorial

Last synced: 29 Oct 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: 07 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/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/aws-solutions/maintaining-personalized-experiences-with-machine-learning

The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Personalize. This pipeline allows you to keep up to date with your user’s most recent activity while sustaining and improving the relevance of recommendations

amazon-personalize artificial-intelligence machine-learning

Last synced: 15 Apr 2025

https://github.com/cahya-wirawan/opentc

OpenTC is a text classification engine using several algorithms in machine learning

convolutional-neural-networks machine-learning svm-classifier tensorflow text-classification

Last synced: 11 Apr 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/waikato/weka

Pointer to the official Weka repository.

java machine-learning weka

Last synced: 02 Aug 2025

https://github.com/youngjeong46/hands-on-machine-learning

Machine learning practice based on the book Hands On Machine Learning with Scikit-Learn & Tensorflow by Aurelien Geron.

machine-learning scikit-learn tensorflow

Last synced: 15 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/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/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/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/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/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/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/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/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/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/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

Machine learning Awesome Lists
awesome-scalability 920 awesome-datascience 944 awesome-deep-learning 598 awesome-deep-learning-papers 238 awesome-production-machine-learning 548 awesome-nlp 683 Machine-Learning-Tutorials 484 Awesome-pytorch-list 707 awesome-kubernetes 48 awesome-artificial-intelligence 90 awesome-aws 687 Awesome-Diffusion-Models 2,974 awesome-project-ideas 57 awesome-ml-for-cybersecurity 164 Awesome-Embedded 306 Awesome-CoreML-Models 60 awesome-multimodal-ml 480 awesome-machine-learning-on-source-code 264 awesome-self-supervised-learning 463 useful-java-links 807 Awesome-Prompt-Engineering 457 awesome-learning-resources 499 learn-ai-engineering 114 awesome-ai-tools 435 awesome-quant 142 awesome-mlops 314 Awesome-Geospatial 1,525 awesome-ai-ml-resources 130 awesome-opensource-ai 884 awesome-robotic-tooling 939 Awesome-Quant-Machine-Learning-Trading 125 awesome-quantum-machine-learning 267 awesome-python-data-science 382 awesome-ai-residency 91 awesome-TS-anomaly-detection 55 awesome-ml-courses 40 awesome-deep-learning-music 248 awesome-robotics-libraries 232 awesome-anomaly-detection 138 Computer-Science-Resources 51 awesome-tensor-compilers 165 awesome-decision-tree-papers 423 awesome-argo 406 awesome-chatgpt 169 awesome-streamlit 101 Awesome-Rust-MachineLearning 48 awesome_time_series_in_python 69 machine-learning-with-ruby 216 awesome-ml4co 615 awesome-jax 218
Machine learning Categories
Papers 11,098 Uncategorized 8,066 Books 4,096 fl in top-tier journal 3,255 Scalability 2,953 A01_ζ–‡ζœ¬η”Ÿζˆ_ζ–‡ζœ¬ε―Ήθ― 2,414 **Literature and Codes** 2,279 Vision 2,030 Repos 1,864 Paper List 1,715 Table of Contents 1,712 fl in top ml conference and journal 1,564 Blog Posts 1,560 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,158 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,032 Videos 1,012