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/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/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/IBM/MAX-Inception-ResNet-v2

Identify objects in images using a third-generation deep residual network.

docker-image imagenet-classifier keras machine-learning machine-learning-models

Last synced: 13 May 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/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/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/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/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/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/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/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/serkor1/slmetrics

A high-performance R :package: for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

armadillo armadillo-library artificial-intelligence cpp cran cran-r data-analysis data-science eigen3 machine-learning performance-metrics r r-package r-stats rcpp rcpparmadillo rcppeigen statistics supervised-learning

Last synced: 18 Feb 2026

https://github.com/hoangsonww/ai-rag-assistant-chatbot

👨🏻‍💻 Meet Lumina – my personal chatbot assistant designed to answer any questions. Powered by Optuna, RAG, LangChain, and Pinecone vector database, Lumina offers friendly support and smart solutions tailored for all conversations. Created as part of the mid-term project for COMP-488 at UNC.

api artificial-intelligence chat-application chatbot docker express fullstack-development langchain lumina machine-learning mongodb nodejs personal-assistant python rag react retreival-augmented-generation typescript vercel

Last synced: 15 Mar 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/mewwts/feng

feng - feature engineering for machine-learning champions

feature-engineering machine-learning pandas

Last synced: 14 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/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/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/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/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/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/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/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/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/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/ap6yc/adaptiveresonance.jl

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

julia machine-learning

Last synced: 14 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/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/netflix/user2020-metaflow-tutorial

Tutorial contents for useR! 2020 Metaflow workshop

datascience machine-learning metaflow r rstats

Last synced: 01 Jul 2025

https://github.com/kaslanarian/pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类,支持缓存机制与随机傅里叶特征

machine-learning one-class-svm python random-fourier-features svm svm-classifier svm-kernel svm-regressor

Last synced: 08 May 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/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/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/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/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/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/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/tlverse/origami

:game_die: :crystal_ball: Comprehensive Cross-Validation Engine

cross-validation machine-learning

Last synced: 19 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/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/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/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/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/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/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/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/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/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/comidan/computer-science-engineering

Collection of all courses, and their materials, attended at Politecnico di Milano during both Bachelor level degree and Master level degree in Engineering, Computer Science Engineering

artificial-intelligence automation bioinformatics compilers computer-architecture computer-science-engineering cybersecurity databases electronics engineering logic-circuit machine-learning mathematics networks operating-system physics probability-statistics robotics telecomunications

Last synced: 13 Oct 2025

https://github.com/akassharjun/shapleyvaluefl

A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.

federated-learning game-theory incentive-mechanism machine-learning shapley-value

Last synced: 23 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/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/olafenwamoses/deepstack_actionnet

A custom DeepStack model for detecting 16 human actions.

deep-learning detection machine-learning object-detection

Last synced: 11 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/kxsystems/automl

Automated Machine Learning Framework for kdb+

automated-machine-learning kdb machine-learning q

Last synced: 25 Jan 2026

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/ab007shetty/crop-management-system

The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.

bootstrap4 crop-prediction crop-recommendation fertilizer-recommendation html-css-javascript machine-learning php rainfall-prediction responsive-web-design yield-prediction

Last synced: 02 Jun 2026

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/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/theengineeringworld/python-data-science

Python Data Science has all the data sets and jupyter notebook files for the Youtube course at http://youtube.com/theengineeringworld under the name of " Python Data Science Course ".

data data-analysis data-mining data-science data-visualization jupyter-notebook jupyter-notebooks machine-learning python python27

Last synced: 17 Nov 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/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/masterscrat/rl-insights

🤖 Reinforcement Learning paper summaries, notebooks, and articles.

machine-learning reinforcement-learning

Last synced: 21 Mar 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/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/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