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A Clojure wrapper for deeplearning4j with added syntactic sugar, aiming to provide a declarative API for machine learning on the JVM. It translates Clojure keywords into Java method calls, making many deeplearning4j configuration options accessible. The project is a work in progress, and configurations have been tested on basic feedforward nets, RNNs and CNNs.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Public spreadsheet collecting language-learning links, tools, communities, and study resources.
Laoshi is a Chinese language learning service built around smart flashcards and a spaced repetition system for studying Mandarin vocabulary and characters. It offers practice in reading and writing in the app, ready-made HSK word lists, goal setting and progress tracking. A family of digital tools includes a classroom, dictionary, grammar library, pinyin converter and Chinese name generator.
A curated list of resources for learning PHP, covering tutorials, books, online courses and reference material. Topics include the LAMP stack, HTML, CSS, JavaScript, protocols, local development environments, tools, frameworks, object-oriented programming, design patterns, databases, testing, security and architecture.
Live Lingua Cantonese helps learn languages with dictionaries, reading tools, lessons, pronunciation, or study resources.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
LynxKite is a GPU-accelerated platform for graph analytics and drug discovery. It combines graph reasoning, machine learning and molecule analysis in one workflow, and offers 600+ graph operations with 2D and 3D molecule visualization. It is free and open source with a commercial tier for production teams.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Made With ML is an educational resource by Anyscale that teaches how to responsibly design, develop, deploy and iterate on production machine learning applications. Its lessons cover design, data preparation, model training, development, testing, reproducibility and production.
Magenta is a research project exploring machine learning in art and music creation, developing deep learning and reinforcement learning algorithms for generating songs, images, and drawings. It also explores tools letting artists and musicians extend their processes with these models. The repository is archived and read-only.
Maschinelle Sprachgebrauchsanalyse - Grundlagen der Korpuslinguistik provides AI-assisted learning, courses, tutorials, or study support.
A two-year, 120 ECTS Master of Science program in Data Science and Artificial Intelligence at Eindhoven University of Technology, taught in English. Students study collecting, managing, analyzing and interpreting data, and developing AI systems, with specializations such as Process Analytics, Data Management & AI, Visual Data Science, Data Analytics, Machine Learning and Artificial Intelligence.
Mathigon is a mathematics learning site described as a mathematical playground. It offers free tools, courses and manipulatives intended to make online learning more interactive, including Polypad, fractals, flash cards, timeline, sequences, graph theory and Factris. It also lists lesson plans and teacher resources.
Mathos AI provides AI-assisted learning, courses, tutorials, or study support.
A Python module for metric learning.
Metric Learning Algorithms in Python.
Machine Learning Visualized is a book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first principles. Each notebook's output is a visualization of the algorithm during training, converging at its optimal weights. Chapters cover optimization, clustering and reduction, linear models and activation functions, and neural networks.
ml.js is an open-source machine learning toolset implemented in JavaScript, hosted in the mljs/ml GitHub repository. It provides libraries for both supervised and unsupervised machine learning tasks, alongside usage resources and standalone example code for users.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Use simulation tools and learning resources for nanotechnology.
Netron is a viewer for neural network, deep learning and machine learning models. It supports formats including ONNX, TensorFlow Lite, PyTorch, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy. It is available as a browser version and installers for macOS, Linux and Windows, plus a Python package. Experimental support exists for MLIR, JAX, GGUF and other formats.
