> A graph sampling extension library for NetworkX with a Scikit-Learn like API.
PythonGNU General Public License v3.0steady
Awesome MachineLearning
Search 737 MachineLearning projects →737 projects85 categoriesshowing 301–360, page 6 of 13
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- 12%steady
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Sourced fromjosephmisiti/awesome-machine-learning
Projects 301–360 of 737, most starred first
Machine Learning for RC Cars.
PythonMIT Licensedormant
A DSL for deep neural networks. [Deprecated]
HaskellOtherdormant
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
topic modelling platform.
C++Othersteady
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
PythonApache License 2.0slowing
A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
PythonApache License 2.0active
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
CMIT Licenseactive
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Common LispMIT Licenseactive
a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.
RustApache License 2.0dormant
Generalized linear models in Julia.
JuliaOtheractive
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
Train and run a computer vision model with 5-10 lines of code.
PythonMIT Licenseslowing
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
PythonApache License 2.0steady
Python wrapper for Stanford CoreNLP [Deprecated]
PythonGNU General Public License v2.0dormant
A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.
C#MIT Licenseslowing
A state-of-the-art generic dense feature extractor. [Deprecated]
COtherdormant
Machine learning toolkit focused on supervised classification. [Deprecated]
PythonMIT Licensedormantarchived
A curated list of pretrained CoreML models.
MIT Licensedormant
A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development. [Deprecated]
C++MIT 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
R binding for eXtreme Gradient Boosting (Tree) Library.
C++Otherdormant
Jupyter Notebooksteady
Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
TeXdormant
Neural Networks written in Go.
GoMIT Licensedormant
Map-Reduce for Clojure.
ClojureApache License 2.0dormant
A wrapper around scikit-learn that makes it simpler to conduct experiments.
PythonOtherslowing
Neural network inference from the command line, implemented in CHICKEN Scheme.
SchemeMIT Licensedormant
Julia implementation of the scikit-learn API.
JuliaOtherslowing
FACTORIE is a toolkit for deployable probabilistic modelling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
ScalaApache License 2.0dormant
An image library for Julia.
JuliaOthersteady
Self Organizing Map written in Python (Uses neural networks for data analysis).
Jupyter NotebookApache License 2.0dormant
> 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
Unified interface to ggplot2 popular R packages.
ROtheractive
Machine Learning library for the web, Node.js and developers
TypeScriptMIT Licensesteady
This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like TensorFlow, Kubernetes, Kubeflow, and Argo Workflows directly from a key maintainer and contributor, with real-world scenarios and hands-on projects.
PythonApache License 2.0steady
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
Winning solution for the Galaxy Challenge on Kaggle.
PythonBSD 3-Clause "New" or "Revised" Licensedormant
Reinforcement learning using Markov Decision Processes.
C++dormant
Metaprogramming tools for DataFrames.
JuliaOtheractive
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
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
GoMIT Licenseslowing
This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example illinois-core-utilities which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, illinois-edison a library for feature extraction from illinois-core-utilities data structures and many other packages.
JavaOtherdormant
Class on machine w/ PDF, lectures, code
Objective-Cdormant
Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.
PythonGNU General Public License v3.0slowing
A parallel neural net microframework. Read the paper here.
FortranMIT Licensesteady
Golang implementation of Punkt sentence tokenizer.
GoMIT Licenseslowing
Julia module for Distance evaluation.
JuliaOtherslowing
A fast Clojure Tensor & Deep Learning library
ClojureEclipse Public License 1.0active
A highly-modular C++ machine learning library for embedded electronics and robotics.
C++MIT Licensedormant
PyTorch library for creating and training sequence autoencoders in just two lines of code
PythonMIT Licenseslowing
VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
C++Othersteady
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
This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
Jupyter NotebookMIT Licensesteady
Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
JuliaMIT Licenseactive
Simple, realtime visualization of neural network training performance.
JavaScriptMIT Licensedormant
Clojure(Script) library and framework for creating interactive visualization applications based in Vega-Lite (VGL) and/or Vega (VG) specifications. Automatic framing and layouts along with a powerful templating system for abstracting visualization specs
ClojureMIT Licenseslowing
Is an open source on-prem AI coding autonomous assistant that lives inside your repo, edits and tests files at SSD speed. Think Claude Code but with UI. plug in any LLM (OpenAI, Gemini, Ollama, etc.) and let it work for you.
JavaScriptMIT Licenseslowing