Top 18 machine-learning-library Open-Source Projects

• rasa

  16 17,984 9.6 Python

  💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  

Project mention: 🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬 | dev.to | 2023-11-06

Support Rasa on GitHub ⭐

• Dlib

  33 13,031 8.2 C++

  A toolkit for making real world machine learning and data analysis applications in C++

Project mention: Modern Image Processing Algorithms Implementation in C | news.ycombinator.com | 2023-06-06

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• mlpack

  4 4,810 9.9 C++

  mlpack: a fast, header-only C++ machine learning library

  

Project mention: How much C++ is used when it comes to performing quant research? | /r/quant | 2023-07-03

Does C++ have the equivalent of Pandas or Apache Spark? Are there extensive libraries that exist/are being developed that allow you to perform operations with data? Or do people just use a combination of Python & its various libraries (NumPy etc)? If we leave aside the data bit, are there libraries that allow you to develop ML models in C++ (mlpack for instance ) faster & more efficiently compared to their Python counterparts (scikit-learn)? On a more general note, how does C++ fit into the routine of a Quant Researcher? And at what scale does an organization decide they need to start switching to other languages and spend more time developing the code ?

• igel

  11 3,080 1.1 Python

  a delightful machine learning tool that allows you to train, test, and use models without writing code

• thinc

  4 2,789 7.6 Python

  🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

  

Project mention: JAX – NumPy on the CPU, GPU, and TPU, with great automatic differentiation | news.ycombinator.com | 2023-09-28

Agree, though I wouldn’t call PyTorch a drop-in for NumPy either. CuPy is the drop-in. Excepting some corner cases, you can use the same code for both. Thinc’s ops work with both NumPy and CuPy:

https://github.com/explosion/thinc/blob/master/thinc/backend...

• tabnet

  8 2,480 4.8 Python

  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

  

• modAL

  4 2,140 1.9 Python

  A modular active learning framework for Python

  

• SaaSHub

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• RubixML

  10 1,975 4.9 PHP

  A high-level machine learning and deep learning library for the PHP language.

  

Project mention: Machine learning and deep learning library for the PHP language | news.ycombinator.com | 2023-11-04

• Awesome-Rust-MachineLearning

  5 1,707 0.0 JavaScript

  This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

Project mention: Performance critical ML: How viable is Rust as an alternative to C++ | /r/rust | 2023-05-02

There’s an awesome-git list for a bunch of ML rust stuff not sure how up to date it is as well https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning … not mine

• magnitude

  5 1,611 0.0 Python

  A fast, efficient universal vector embedding utility package.

  

• JSAT

  0 783 0.0 Java

  Java Statistical Analysis Tool, a Java library for Machine Learning

• pretty-print-confusion-matrix

  1 507 0.0 Python

  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

• Machine-Learning-Guide

  6 437 6.2 Python

  Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

• JGAAP

  4 253 4.2 Java

  The Java Graphical Authorship Attribution Program

  

Project mention: Professor says I used ChatGPT | /r/academia | 2023-07-11

There's an open source algorithmic tool you can use to feed pre-gpt writing samples to and then give it a post GPT Sample and ask if it is the same author. You can use Wikipedia texts, other journal articles, and actual GPT texts as your adversarial examples. https://github.com/evllabs/JGAAP there are other newer neural network based5 programs too, but you'll have to Google it and figure out which one is best for your case.

• paramonte

  4 236 8.7 Fortran

  ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

  

• TalkToModel

  1 102 2.9 Python

  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

• mljar-examples

  2 58 3.3 Jupyter Notebook

  Examples how MLJAR can be used

  

• Nerve

  4 42 6.2 C

  This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries. (by fkkarakurt)

• SaaSHub

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machine-learning-library related posts

• Professor says I used ChatGPT

  1 project | /r/academia | 11 Jul 2023

• How much C++ is used when it comes to performing quant research?

  1 project | /r/quant | 3 Jul 2023

• modAL VS encord-active - a user suggested alternative

  2 projects | 12 Apr 2023

• Problem with RASA Open Source "The client is using an unsupported version of the Socket.IO or Engine.IO"

  1 project | /r/learnprogramming | 20 Mar 2023

• Time series data into a CNN

  1 project | /r/learnmachinelearning | 1 Mar 2023

• Question: Authors reusing the same rare words

  1 project | /r/books | 12 Jan 2023

• [P] Stable Diffusion in Tensorflow / Keras

  1 project | /r/MachineLearning | 19 Sep 2022
• A note from our sponsor - SaaSHub
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