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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/natmlx/robust-video-matting-unity

Robust Video Matting for high-fidelity human segmentation in Unity Engine.

background-removal computer-vision human-segmentation machine-learning natml unity3d

Last synced: 17 Mar 2025

https://github.com/FrontierDevelopmentLab/CUMULO

a benchmark dataset for training and evaluating global cloud classification models.

atmospheric-physics climate-change esa machine-learning nasa-cloudsat nasa-modis

Last synced: 02 Apr 2025

https://github.com/kyegomez/limoe

Implementation of the "the first large-scale multimodal mixture of experts models." from the paper: "Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts"

ai artificial-intelligence machine-learning mixture-of-experts ml moe pytorch swarms tensorflow

Last synced: 14 Jul 2025

https://github.com/rohan-paul/awesome-machine-learning-datascience_resources

Curated Collection of Online and Free Resources for serious learning of Machine Learning and Data Science.

artificial-intelligence data-science deep-learning deeplearning machine-learning mathematics

Last synced: 03 Jul 2025

https://github.com/cTJakt/glaucus

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

automl deep-learning hyperparameter-optimization machine-learning react

Last synced: 07 May 2025

https://github.com/pityka/lamp

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

deep-learning extratrees gpu gpu-acceleration libtorch machine-learning neural-networks pytorch scala scala-library tensor umap

Last synced: 08 Mar 2025

https://github.com/sansa-stack/sansa-notebooks

Interactive Spark Notebooks for running SANSA examples.

hdfs hue machine-learning notebook owl rdf sansa semantics spark zeppelin

Last synced: 14 Apr 2025

https://github.com/nedtaylor/athena

A Fortran-based neural network library for physics-based applications. Alongside standard neural network layer types, it also supports graph-based layers and physics informed neural networks.

automatic-differentiation cnn convolution convolutional-neural-networks deep-learning feed-forward-neural-networks fortran fortran-package-manager machine-learning message-passing-neural-network neural-network physics-informed-neural-networks

Last synced: 17 Jan 2026

https://github.com/arya920/career-guidance-ai-bot

This project presents the development of a career counseling bot that utilizes Quora data to provide users with valuable insights and recommendations for their career choices

cnn deep-learning deep-neural-networks machine-learning neural-network nlp-machine-learning streamlit-webapp

Last synced: 30 Jul 2025

https://github.com/gretelai/trainer

Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.

data-generation deep-learning gan gans language-model machine-learning synthetic-data

Last synced: 04 Apr 2025

https://github.com/zhuohaoyu/kieval

[ACL'24] A Knowledge-grounded Interactive Evaluation Framework for Large Language Models

acl2024 explainable-ai llm llm-evaluation llm-evaluation-framework llm-evaluation-metrics llm-evaluation-toolkit machine-learning

Last synced: 18 Sep 2025

https://github.com/AlissonRP/FreeStats

Caminho para estudo da Estatística de maneira independente

machine-learning self-learning statistics

Last synced: 23 Jul 2025

https://github.com/hassaku/audio-plot-lib

This library provides graph sonification functions and has been developed for a project named "Data science and machine learning resources for screen reader users". Please refer to the project page for more details.

audio data-science google-colab graphs machine-learning python sonification visually-impaired

Last synced: 29 Oct 2025

https://github.com/zackakil/optimising-basketball

Using Keras, TensorFlow.js and image processing to analyse my basketball skillz.

basketball machine-learning python tensorflow

Last synced: 05 May 2025

https://github.com/axonn-ai/axonn

A parallel framework for training deep neural networks

deep-learning machine-learning neural-networks parallel-computing

Last synced: 27 Mar 2025

https://github.com/saidziani/feedny

The Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. Reading magazines and newspapers is too time-consuming, and there is a huge amount of online content that is updated or generated each minute. Our solution considers each user’s interests and leverages Artificial Intelligence, Machine Learning and Natural Language Processing in order to suggest to relevant articles from the internet.

automatic-summarization javascript machine-learning machine-translation natural-language-processing nlp profiling react-native recommendation-system text-classification

Last synced: 21 Mar 2025

https://github.com/astrazeneca-cgr-publications/mantis-ml-release

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

auto-ml genomics keras machine-learning scikit-learn tensorflow

Last synced: 05 May 2025

https://github.com/georgebuilds/anneal

Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.

autodiff autograd compiler deep-learning golang gpu machine-learning neural-networks onnx tensor tinygrad wasm webgpu

Last synced: 13 Jun 2026

https://github.com/curiousily/hackers-guide-to-deep-learning

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

deep-learning machine-learning machine-learning-api machine-learning-deploy machine-learning-engineering neural-networks python pytorch

Last synced: 04 Oct 2025

https://github.com/PhDP/alchemy2

A copy of Alchemy 2, a set of tools to handle Markov Logic Networks.

c-plus-plus machine-learning markov-logic

Last synced: 09 Jul 2025

https://github.com/grananqvist/nalu-tf

Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.

deep-learning deepmind machine-learning nalu trask

Last synced: 31 Jul 2025

https://github.com/eellak/gsoc2021-audio-annotation-tool

Creation of a multi user audio first annotation tool - GSoC 2021

annotation-tool django gsoc-2021 machine-learning multi-user

Last synced: 19 Apr 2025

https://github.com/srwi/pycharm-pixellens

Free PyCharm image viewer plugin for visualizing and debugging NumPy, OpenCV, PyTorch, TensorFlow, JAX, and PIL data.

data-science debugger-visualizer debugging machine-learning pycharm pycharm-plugin python

Last synced: 23 Oct 2025

https://github.com/farshidnooshi/tensorflow-notebooks

A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems

cnn-keras deep-learning keras lstm machine-learning neural-network nlp-machine-learning rnn rnn-tensorflow tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 24 Oct 2025

https://github.com/sonoisa/code2vec

an implementation of "code2vec: Learning Distributed Representations of Code"

deep-learning machine-learning source-code-analysis

Last synced: 31 Jan 2026

https://github.com/kitestring/dataquest

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

dataquest gitignore jupyter-notebook k-means-clustering k-nearest-neighbours linear-regression linux logistic-regression machine-learning matplotlib pandas postgresql pydev pyspark python-3-6 seaborn sklearn sqlite3 statistics webscraping

Last synced: 02 Apr 2026

https://github.com/hendersontrent/gam.jl

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

data-science generalized-additive-models machine-learning regression statistical-models statistics

Last synced: 08 Apr 2025

https://github.com/mainakrepositor/ml-algorithms

List of some top machine learning algorithms. Just give a dive and explore the world of ML

algorithms classification-algorithm clustering machine-learning natural-language-processing python3 random-forest regressions

Last synced: 13 Oct 2025

https://github.com/passalis/sef

A Python Library for Similarity-based Dimensionality Reduction

dimensionality-reduction machine-learning pytorch

Last synced: 19 Apr 2025

https://github.com/flink-extended/clink

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

feature-engineering flink-streaming machine-learning online-learning

Last synced: 21 Feb 2026

https://github.com/victorqribeiro/deforestation

A machine learning exercise, using KNN to classify deforested areas

image-analysis image-classification image-processing image-recognition knn machine-learning

Last synced: 12 Jun 2025

https://github.com/munagekar/nnpso

Training of Neural Network using Particle Swarm Optimization

deep-learning machine-learning neural-network parallel-computing particle-swarm-optimisation tensorflow

Last synced: 12 May 2025

https://github.com/deep-diver/continuous-adaptation-for-machine-learning-system-to-data-changes

https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html

machine-learning mlops pipeline tensorflow tfx

Last synced: 05 May 2025

https://github.com/ai2es/miles-guess

Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

ai bayesian epistemic-uncertainty evidential-deep-learning machine-learning neural-networks uncertainty-quantification

Last synced: 13 Dec 2025

https://github.com/rsharp-lang/R-sharp

R# language is a kind of R liked vectorized language implements on .NET environment for the bioinformatics data analysis

bioinformatics gcmodeller graphquery hdf5 hpc machine-learning microsoft-visualbasic netcdf parallel-computing r r-sharp vb

Last synced: 30 Jul 2025

https://github.com/horoc/treetops

Fast LightGBM tree model inference Java library which is based on ASM dynamic code generation framework.

asm bytecode inference java lightgbm machine-learning

Last synced: 14 Apr 2025

https://github.com/llami-team/wake-me

AI-based React component library that detects clapping sounds or finger snaps. Using a TensorFlow.js-based machine learning model, it accurately analyzes sounds in real-time.

ai component finger-detection library machine-learning react sound-detection tensorflow wake-snap wake-up wake-up-word

Last synced: 15 May 2025

https://github.com/ourownstory/federated_kmeans

Federated k-means clustering algorithm implementation and proof of concept.

clustering federated-learning kmeans kmeans-clustering machine-learning privacy

Last synced: 14 Apr 2025

https://github.com/divyat09/cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

causality counterfactual-explanations explainable-ml machine-learning neurips-2019

Last synced: 20 Aug 2025

https://github.com/haleshot/deep-ml

A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible and engaging. It offers a variety of AI-related problems for learners at different skill levels.

algorithms artificial-intelligence deep-learning deep-learning-algorithms deep-neural-networks linear-algebra linear-regression machine-learning machine-learning-algorithms

Last synced: 09 Mar 2026

https://github.com/isg-siegen/auto-surprise

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:

automated-machine-learning automl hyperopt hyperparameter-search hyperparameter-tuning machine-learning recommender-system surprise tpe

Last synced: 17 Mar 2026

https://github.com/mkurc1/climbingcrux_model

The climbing crux model is a machine-learning project that aims to recognize climbing holds and the distance between them from a photo and suggest routes that fit the user's climbing level.

climbing fastapi jupiter-notebook machine-learning python yolo

Last synced: 05 Jun 2026

https://github.com/dayyass/graph-based-clustering

Graph-Based Clustering using connected components and spanning trees.

clustering data-science graph graph-algorithms hacktoberfest machine-learning python sklearn

Last synced: 03 Mar 2026

https://github.com/njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

broom decision-trees gbm machine-learning randomforest rpart rstats statistical-learning

Last synced: 21 Mar 2025

https://github.com/evanhalley/tensorandflow

Example code and graph for article on deploying a machine learning model in an Android app.

android machine-learning tensorflow tensorflow-tutorials

Last synced: 30 Aug 2025

https://github.com/engineeringsoftware/coditt5

CoditT5: Pretraining for Source Code and Natural Language Editing

machine-learning pretrained-language-model software-engineering

Last synced: 12 May 2025

https://github.com/t-systems-on-site-services-gmbh/german-elmo-model

This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.

bilm elmo embedding german machine-learning nlp python tensorflow

Last synced: 10 Jul 2025

https://github.com/lolleko/mesh-data-synthesizer

Uses Unreal Engine & Cesium to generate large synthetic dataset from 3D meshes. Enables machine learning tasks like Visual Place Recognition read more in our paper on this: https://meshvpr.github.io

cesium data geospatial machine-learning mesh place-recognition synthesis synthesizer ue5 unreal-engine

Last synced: 28 Apr 2025

https://github.com/csm9493/FC-AIDE-Keras

FC-AIDE: Fully Convolutional Pixel Adaptive Image Denoiser

deep-learning image-denoising machine-learning

Last synced: 02 Apr 2025

https://github.com/justinmeiners/why-train-when-you-can-optimize

Learn multi-variable optimization by creating a drawing assistant. No deep learning required!

canvas deep-learning graphics machine-learning numerical-methods optimization

Last synced: 04 Feb 2026

https://github.com/yeliudev/nncore

📦 A lightweight machine learning toolkit for researchers, providing common model design & learning functionalities.

deep-learning machine-learning pytorch

Last synced: 09 Aug 2025

https://github.com/abdullahselek/spampy

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

enron-spam-dataset machine-learning numpy scipy sklearn sklearn-classify spam-classification support-vector-machines

Last synced: 21 Aug 2025

https://github.com/steven2358/sklearn-matlab

Machine learning in Matlab using scikit-learn syntax

machine-learning matlab scikit-learn

Last synced: 10 Apr 2025

https://github.com/declare-lab/mm-align

[EMNLP 2022] This repository contains the official implementation of the paper "MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences"

machine-learning multimodal-deep-learning multimodal-sentiment-analysis natural-language-processing optimal-transport

Last synced: 14 Apr 2025

https://github.com/yuhui-zh15/c3

Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)

computer-vision contrastive-learning iclr2024 machine-learning natural-language-processing

Last synced: 14 Apr 2025

https://github.com/athen-lab/mai

Multilayer Authenticity Identifier (MAI), a CNN model that attempts to identify synthetic AI images.

cnn cnn-classification cnn-model machine-learning pytorch

Last synced: 15 Apr 2025

https://github.com/biolab/orange3-educational

🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.

algorithm coursera data-mining machine-learning machine-learning-algorithms orange teaching udacity university-course visualization

Last synced: 14 Aug 2025

https://github.com/lspahija/force-multiplier

Use AI to edit your documents in real-time. Provide feedback and let the AI do all the work.

ai gpt-4 machine-learning

Last synced: 15 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: 07 May 2025

https://github.com/mauroandretta/aifootballpredictions

AIFootballPredictions is an ML-based system to predict if a football match will have over 2.5 goals. Using historical data from top European leagues (Serie A, EPL, Bundesliga, La Liga, Ligue 1), it employs advanced feature engineering and model training techniques to provide accurate predictions. Perfect for sports analytics enthusiasts.

data-science football football-analytics football-prediction machine-learning prediction predictive-modeling soccer soccer-analytics

Last synced: 04 Apr 2025

https://github.com/IndexStorm/git-rec-back

Backend code for GitHub Recommendation Extension

ai faiss flask machine-learning sbert

Last synced: 14 Jul 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-aws 687 awesome-artificial-intelligence 90 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 11,055 Uncategorized 8,038 Books 4,090 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,387 **Literature and Codes** 2,279 Vision 2,030 Repos 1,865 Paper List 1,715 Table of Contents 1,698 fl in top ml conference and journal 1,564 Blog Posts 1,560 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,155 Attack 1,071 Computational Information Geometry 1,071 Research Papers 1,025 Videos 1,019