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/floydhub/floyd-cli

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

ai artificial-intelligence deep-learning floyd floyd-cli floydhub gpu machine-learning python pytorch tensorflow

Last synced: 28 Mar 2025

https://github.com/cea-list/n2d2

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

artificial-intelligence deep-learning deep-learning-library deep-neural-networks machine-learning neural-network spike-inference

Last synced: 15 Sep 2025

https://github.com/basalt-org/basalt

A Machine Learning framework from scratch in Pure Mojo 🔥

ai autograd deep-learning deep-neural-networks machine-learning ml mojo neural-network tensor

Last synced: 12 Jul 2025

https://github.com/bukosabino/btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

bitcoin deep-learning deep-neural-networks forecast future machine-learning machine-learning-algorithms prediction price time-series trends xgboost

Last synced: 07 Oct 2025

https://github.com/agentmorris/megadetector

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

camera-traps cameratraps computer-vision conservation ecology machine-learning megadetector wildlife

Last synced: 16 May 2025

https://github.com/cornerstone-ondemand/modelkit

Toolkit for developing and maintaining ML models

fastapi machine-learning mlops production python

Last synced: 05 Apr 2025

https://nvidia.github.io/Milano/

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning

Last synced: 18 Nov 2025

https://github.com/NVIDIA/Milano

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning

Last synced: 20 Nov 2025

https://github.com/Cornerstone-OnDemand/modelkit

Toolkit for developing and maintaining ML models

fastapi machine-learning mlops production python

Last synced: 08 May 2025

https://github.com/TuneNN/TuneNN

A transformer-based network model for pitch detection

audio machine-learning music pitch-detection pitch-estimation

Last synced: 18 Jul 2025

https://github.com/noahho/caafe

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

automl data-science deep-learning feature-engineering machine-learning tabpfn

Last synced: 04 Apr 2025

https://jinglescode.github.io/time-series-forecasting-tensorflowjs/

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

deep-learning javascript lstm machine-learning neural-network rnn tensorflow tensorflowjs time-series-forecasting

Last synced: 14 Mar 2025

https://github.com/bytedeco/storch

GPU accelerated deep learning and numeric computing for Scala 3.

deep-learning gpu machine-learning neural-network scala tensor

Last synced: 29 May 2026

https://github.com/CEA-LIST/N2D2

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

artificial-intelligence deep-learning deep-learning-library deep-neural-networks machine-learning neural-network spike-inference

Last synced: 23 Apr 2025

https://github.com/joneswack/conformal-predictions-from-scratch

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

conformal-prediction machine-learning numpy python uncertainty-estimation

Last synced: 11 May 2025

https://github.com/google-research/reverse-engineering-neural-networks

A collection of tools for reverse engineering neural networks.

deep-learning interpretability machine-learning

Last synced: 07 Apr 2025

https://github.com/alteryx/woodwork

Woodwork is a Python library that provides robust methods for managing and communicating data typing information.

data-science dataframe dataframes evalml featuretools inference machine-learning nlp-primitives python semantic-tags typing woodwork

Last synced: 15 May 2025

https://github.com/shunk031/paper-survey

📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

arxiv arxivtimes deep-learning-papers machine-learning natural-language-processing summary survey

Last synced: 05 Mar 2026

https://github.com/kibae/onnxruntime-server

ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.

ai contributions-welcome cuda deep-learning inference-server machine-learning nueral-networks onnx onnxruntime

Last synced: 05 Apr 2025

https://github.com/kootenpv/TwitterQA

Deep learning based Twitter Imposter Chatbot

deep-learning machine-learning neural-network twitter

Last synced: 24 Apr 2025

https://github.com/patlevin/face-detection-tflite

Face and iris detection for Python based on MediaPipe

face-detection machine-learning tensorflow-lite tensorflow-models

Last synced: 06 Apr 2025

https://github.com/tgsmith61591/clust4j

A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.

clustering clustering-algorithm kernel-functions machine-learning

Last synced: 20 Aug 2025

https://github.com/dobriban/Topics-In-Modern-Statistical-Learning

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

calibration conformal-prediction deep-learning machine-learning prediction tolerance-intervals uncertainty-quantification

Last synced: 11 May 2025

https://github.com/googlecreativelab/melody-mixer

A fun way to explore music using machine learning.

deep-learning deeplearnjs machine-learning music p5js

Last synced: 03 Apr 2025

https://github.com/kreuzberg-dev/liter-llm

Universal LLM API client — 142+ providers, 11 native language bindings, powered by Rust core

anthropic api-client llm machine-learning openai polyglot python rust streaming typescript

Last synced: 28 Apr 2026

https://github.com/thebabylonai/babylog

A lightweight logger for machine learning teams to log images and predictions in production.

computer-vision cvops data-science logger logging-library machine-learning ml mlops python python3

Last synced: 07 May 2025

https://github.com/tesserai/tfi

Use any TensorFlow model in a single line of code

machine-learning python tensorflow

Last synced: 02 Sep 2025

https://github.com/sparkling-graph/sparkling-graph

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

approximation big-data coarsing comunity-detection-methods dsl graph graph-algorithms heuristics link-predication machine-learning measure network-analysis spark vertex

Last synced: 24 Apr 2025

https://github.com/h2oai/wave-apps

Sample AI Apps built with H2O Wave.

data-science h2oai hacktoberfest low-code machine-learning python3

Last synced: 05 Sep 2025

https://github.com/sebastianruder/sluice-networks

Code for Sluice networks: Learning what to share between loosely related tasks

deep-learning machine-learning multi-task-learning natural-language-processing transfer-learning

Last synced: 24 Mar 2025

https://github.com/Raymond-sci/AND

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

deep-learning machine-learning unsupervised-learning

Last synced: 16 Nov 2025

https://github.com/aws-solutions/mlops-workload-orchestrator

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

artificial-intelligence machine-learning mlops

Last synced: 04 Apr 2025

https://jonathanwvd.github.io/awesome-industrial-datasets/

A curated collection of public industrial datasets.

awesome-list dataset industry-40 machine-learning time-series

Last synced: 07 May 2025

https://github.com/yinboc/trans-inr

Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022

implicit-neural-representation machine-learning meta-learning pytorch transformer

Last synced: 28 Aug 2025

https://github.com/yassersouri/classify-text

"20 Newsgroups" text classification with python

machine-learning text-classification

Last synced: 10 Jan 2026

https://github.com/cjbayron/autochord

Automatic Chord Recognition tools - ISMIR2021 Late-Breaking Demo presentation

chord-estimation chord-recognition deep-learning machine-learning mir music-information-retrieval

Last synced: 14 Jan 2026

https://github.com/kayoyin/transformer-slt

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

deep-learning machine-learning neural-machine-translation sign-language-translation transformer

Last synced: 22 Dec 2025

https://github.com/smartdataanalytics/dl-learner

A tool for supervised Machine Learning in OWL and Description Logics

machine-learning machine-learning-api machine-learning-library semantic-web web-ontology-language

Last synced: 10 Mar 2026

https://github.com/nl8590687/machine-learning-tutorial-chinese

专门面向中文用户的机器学习相关的学习资料大集合

artificial-intelligence deep-learning machine-learning tutorials

Last synced: 17 Aug 2025

https://github.com/sanyam5/arc-pytorch

The first public PyTorch implementation of Attentive Recurrent Comparators

computer-vision deep-learning deep-neural-networks machine-learning pytorch recurrent-neural-networks

Last synced: 19 Jul 2025

https://github.com/timsainb/parametricumap_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

dimensionality-reduction machine-learning representation-learning semisupervised-learning umap

Last synced: 16 Oct 2025

https://github.com/dair-ai/ml-nlp-paper-discussions

📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.

machine-learning ml nlp

Last synced: 04 Mar 2026

https://github.com/biaslab/forneylab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

bayesian-methods factor-graph machine-learning probabilistic-graphical-models probabilistic-programming state-space-models

Last synced: 06 Nov 2025

https://github.com/deepakkumar1984/MxNet.Sharp

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

csharp-bindings deep-learning gluon image-classification machine-learning mxnet neural-network object-detection

Last synced: 29 Apr 2025

https://github.com/robintw/bankclassify

Simple example of using a Naive Bayesian classification to classify entries in bank statements

finance machine-learning python

Last synced: 10 Apr 2025

https://github.com/vertexclique/orkhon

Orkhon: ML Inference Framework and Server Runtime

async data-parallelism inference-server machine-learning multiprocessing python3 tensorflow

Last synced: 07 Apr 2025

https://github.com/devrimcavusoglu/pybboxes

Light weight toolkit for bounding boxes providing conversion between bounding box types and simple computations.

computer-vision deep-learning image-recognition machine-learning numpy python pytorch tensorflow

Last synced: 08 Apr 2025

https://github.com/nnstreamer/nntrainer

NNtrainer is Software Framework for Training Neural Network Models on Devices.

ai hacktoberfest intelligence learning machine-learning neural-network tensorflow-lite tizen training

Last synced: 18 Mar 2025

https://github.com/ClaudiuGeorgiu/RiskInDroid

A tool for quantitative risk analysis of Android applications based on machine learning techniques

android android-permissions machine-learning quantitative-risk-analysis risk riskindroid

Last synced: 19 Mar 2025

https://github.com/deepakkumar1984/mxnet.sharp

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

csharp-bindings deep-learning gluon image-classification machine-learning mxnet neural-network object-detection

Last synced: 15 Dec 2025