FEDOT is an open-source framework for automated modeling and machine learning. It provides automatic generative design of machine learning pipelines, with an evolutionary approach supporting classification, regression, clustering and time series prediction. Pipelines are represented as graphs defining connections between data preprocessing and model blocks. It is distributed under the 3-Clause BSD license.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Flama is a production framework for predictive and generative AI. It enables serving any machine learning model as an API with a single line of code, and offers OpenAI, Anthropic, and Ollama-compatible endpoints, a built-in chat user interface, and native MCP support.
FLAML is a lightweight Python library from Microsoft for automating machine learning and AI operations. It performs model selection and hyperparameter optimization under resource constraints, including tuning foundation model inference hyperparameters. It requires Python 3.10 or later, is installable via pip, and can be used as a scikit-learn style estimator.
Flare is a Clojure library for building dynamic neural network graphs, described as similar to PyTorch and DynNet. It supports tensor operations, LSTM cells, one-dimensional CNNs and fixed embeddings, and uses Neanderthal as its tensor backend. The project states it is mostly for learning purposes.
FlexML is an AutoML library for Python that assists in building machine learning models by automating model selection and hyperparameter tuning. It supports regression and classification tasks and offers quick and wide experiment modes for choosing how many models to train.
Flight Fare Prediction is a GitHub repository that implements a machine learning project for predicting flight fares. The repository includes documentation such as a problem statement and topics related to the prediction task.
Friendly Federated Learning Framework.
Library for high performance deep learning inference on NVIDIA GPUs.
Free-Courses-For-Everyone is a public GitHub repository that lists resources for accessing free online courses, free and discount coupons for courses from platforms including Udemy, Coursera, and Skillshare, as well as utilities for downloading course content for offline personal use.
Frog integrates memory-based natural language processing modules developed for Dutch, all based on the Timbl learning software package. Modules originated in the 1990s, and a dependency parser, base phrase chunker and named-entity recognizer were added more recently. It offers a command-line interface that can run as a daemon, plus a C++ library.
An open source Python library for drift detection in machine learning systems.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Gaussian Mixture Model is an unsupervised machine learning implementation using a multivariate Gaussian mixture model. It supports both offline data and real-time data streams. The repository provides installation instructions, a simple example, and a license. It is hosted on GitHub at https://github.com/lukapopijac/gaussian-mixture-model.
Large scale Gaussian Mixture Models.
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Course content and resources for the AIAIART course.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
go-dnn is a GitHub repository that provides deep neural network functionality for the Golang programming language, powered by MXNet. The repository notes an updated version of the project is hosted at a separate GitHub location.