134 projectsPython › General-Purpose Machine Learningshowing 61–120, page 2 of 3
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. [Deprecated]
PythonOtherdormant
Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.
PythonBSD 3-Clause "New" or "Revised" Licenseactive
A Python library for implementing a Recommender System.
Pythondormant
Machine learning for NeuroImaging in Python.
PythonBSD 3-Clause "New" or "Revised" Licenseactive
Deep Learning In Python. [Deprecated]
PythonMIT Licensedormant
Fast, flexible and fun neural networks. This is the successor of PyBrain.
PythonOtherdormant
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.
PythonApache License 2.0dormant
High performance library for time series distances (DTW) and time series clustering.
PythonOtheractive
A flexible, fast recommender engine. [Deprecated]
PythonOtherdormant
GPU-Accelerated Deep Learning Library in Python. [Deprecated]
PythonGNU General Public License v2.0dormant
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
PythonApache License 2.0active
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
PythonApache License 2.0steady
Python implementation of many of the artificial intelligence algorithms described in the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.
PythonMIT Licenseslowing
Restricted Boltzmann Machines in Python. [DEEP LEARNING]
PythonMIT Licensedormant
Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
PythonApache License 2.0slowing
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
PythonMIT Licenseslowing
A machine learning framework for multi-output/multi-label and stream data.
PythonBSD 3-Clause "New" or "Revised" Licenseslowing
> A Modular Framework for Multi-Modal Tabular Learning.
PythonMIT Licenseactive
> A PyTorch based deep learning library for drug pair scoring
PythonApache License 2.0slowing
> A graph sampling extension library for NetworkX with a Scikit-Learn like API.
PythonGNU General Public License v3.0steady
an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience. [Deprecated]
Jupyter NotebookOtherslowing
Python-based meta-heuristic optimization techniques.
PythonApache License 2.0steady
A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task.
Jupyter NotebookMIT Licenseslowing
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
PythonApache License 2.0steady
Machine learning toolkit focused on supervised classification. [Deprecated]
PythonMIT Licensedormantarchived
library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
PythonMIT Licenseslowing
A wrapper around scikit-learn that makes it simpler to conduct experiments.
PythonOtherslowing
> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in Medium article.
PythonApache License 2.0slowing
Python package for Bayesian Machine Learning with scikit-learn API.
Jupyter NotebookMIT Licensedormant
A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with objective to build predictive models with one line of code.
PythonGNU General Public License v3.0steady
a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanced bagging and boosting techniques such as gradient boosting, random forest and adaboost.
PythonMIT Licensesteady
Python toolbox for quick implementation, modification, evaluation, and visualization of ensemble learning algorithms for class-imbalanced data. Supports out-of-the-box multi-class imbalanced (long-tailed) classification.
PythonMIT Licensesteady
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
PythonOtherdormant
An AutoML package for hyperparameters tuning using evolutionary algorithms, with built-in callbacks, plotting, remote logging and more.
PythonMIT Licenseactive
Python bindings for Regularized Greedy Forest (Tree) Library.
C++dormant
Free automated data & feature enrichment library for machine learning - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features.
PythonBSD 3-Clause "New" or "Revised" Licenseactive
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
ScalaApache License 2.0steady
Genetic algorithm framework. [Deprecated]
Pythondormant
Parris, the automated infrastructure setup tool for machine learning algorithms.
PythonOthersteady
Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners.
PythonMIT Licenseslowing
> A general purpose recommender metrics library for fair evaluation.
Pythonslowing
A fast Evolution Strategy implementation in Python.
PythonMIT Licensedormant
automated build consisting of a web-interface, and set of programmatic-interface API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.
JavaScriptOtherdormant
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
PythonOtherdormant
> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.
PythonMIT Licensesteady
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
Jupyter NotebookApache License 2.0steady
The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.
Jupyter Notebookactive
Pythondormant
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING]
PythonMIT Licensedormant
Enterprise-grade LLM integration framework for building production-ready AI applications with built-in hallucination prevention, RAG, and MCP support.
TypeScriptMIT Licenseactive
Implementation of machine learning stacking technique as a handy library in Python.
PythonApache License 2.0dormant
Aimed at novice machine learners and non-expert programmers, this package offers easy (no coding needed) and comprehensive machine learning (evaluation and full report of predictive performance WITHOUT requiring you to code) in Python for NeuroImaging and any other type of features. This is aimed at absorbing much of the ML workflow, unlike other packages like nilearn and pymvpa, which require you to learn their API and code to produce anything useful.
PythonApache License 2.0steady
Python Environment for Bayesian Learning. [Deprecated]
PythonOtherdormant
A simple, but essential Bayesian optimization package, written in Python.
PythonMIT Licensesteady
Theano based library for deep and recurrent neural networks.
Jupyter Notebookdormant
Topic modelling toolkit. [Deprecated]
PythonBSD 3-Clause "New" or "Revised" Licensedormantarchived
Bolt Online Learning Toolbox. [Deprecated]
COtherdormant
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
PythonMIT Licenseslowingarchived
Multidimensional synthetic data generation in Python.
PythonMIT Licenseslowing
An easy-to-use, Python-based feature store. Optimized for time-series data.
PythonGNU General Public License v3.0dormant
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