Best Research & Education AI Tools

mexopencv

Collection and a development kit of MATLAB mex functions for OpenCV library.

Spider

The spider is intended to be a complete object orientated environment for machine learning in Matlab.

Optunity

A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replac

Emgu CV

Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.

DiffSharp

An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, dir

GPR

Efficient Gaussian Process Regression in OCaml.

Libra-Tk

Algorithms for learning and inference with discrete probabilistic models.

PHP-ML

Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and mu

Edward

A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.

OpenFace

Free and open source face recognition with deep neural networks.

KoNLPy

A Python package for Korean natural language processing.

BLLIP Parser

Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). **[Deprecated]**

TopFreePrompts by LucyBrain

> 10,000+ professional AI prompts across 23 categories with systematic training for automating ML workflows and analysis

Apache SINGA

An Apache Incubating project for developing an open source machine learning library.

Towhee

A Python module that encode unstructured data into embeddings.

scikit-learn

A Python module for machine learning built on top of SciPy.

astroML

Machine Learning and Data Mining for Astronomy.

BigML

A library that contacts external servers.

prophet

Fast and automated time series forecasting framework by Facebook.

tweetopic

Blazing fast short-text-topic-modelling for Python.

Surprise

A scikit for building and analyzing recommender systems.

implicit

Fast Python Collaborative Filtering for Implicit Datasets.

LightFM

A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.

imbalanced-learn

Python module to perform under sampling and oversampling with various techniques.

Practical XGBoost in Python

comprehensive online course about using XGBoost in Python.

Tensorflow-Federated

A federated learning framework for machine learning and other computations on decentralized data.

Spinning Up

An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning

ElemStatLearn

ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Infe

ScalaNLP

ScalaNLP is a suite of machine learning and numerical computing libraries.

Wallaroo.AI

Production AI plaftorm for deploying, managing, and observing any model at scale across any environment from cloud to ed

Qdrant

Qdrant is [open source](https://github.com/qdrant/qdrant) vector similarity search engine with extended filtering suppor

milvus

Milvus is [open source](https://github.com/milvus-io/milvus) vector database for production AI, written in Go and C++, s

Weaviate

Weaviate is an [open source](https://github.com/semi-technologies/weaviate) vector search engine and vector database. We

MLReef

MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibiliti

MachineLearningWithTensorFlow2ed

a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement

Flyte

Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing.

GPU Per Hour

Real-time GPU cloud price comparison across 30+ providers.

Netron

An opensource viewer for neural network, deep learning and machine learning models

Heuristica

Heuristica is an AI tool that generates personalized discoveries on selected topics, allowing users to broaden their knowledge and receive customized content ba

NLP-Progress

tracks the progress in Natural Language Processing, including the datasets and the current state-of-the-art for the most

The Berkeley NLP Group

Notable contributions include a tool to reconstruct long dead languages, referenced [here](https://www.bbc.com/news/scie

Language Technologies Institute, Carnegie Mellon University

Notable projects include [Avenue Project](http://www.cs.cmu.edu/~avenue/), a syntax driven machine translation system fo

Human-Computer Cooperation or Word-by-Word Question Answering

and modeling development of phonetic representations.

Penn Natural Language Processing, University of Pennsylvania

Famous for creating the [Penn Treebank](https://www.seas.upenn.edu/~pdtb/).

Deep Learning for Natural Language Processing (cs224-n)

Richard Socher and Christopher Manning's Stanford Course

prodigy

is an annotation tool powered by active learning, costs $

Few Shot Learning

Everything you need to know about Few-Shot Learning.