Khroma is an AI-powered color tool for designers. It uses an algorithm trained on user-selected colors to generate palettes, and draws on popular human-made palettes to produce combinations. Palettes can be searched and filtered by hue, tint, value, color, and hex or RGB values, and saved to a collection.
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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.
Lambda offers hourly rental of NVIDIA H100, H200, B200, and A100 GPUs through a self-serve interface, with instances launchable via UI, API, or CLI. Users can train, fine-tune, and serve models on one to eight GPU instances and pay by the minute, with no egress fees.
Langfuse is an open source platform for tracing, evaluating and improving AI agents. It connects tracing, monitoring, datasets, experiments and evaluation in one continuous loop, capturing every LLM call, tool invocation and retrieval step. The platform includes prompt management, a playground, experiments and human annotation, and works with any language or framework supporting OpenTelemetry instrumentation.
LDA is a JavaScript library for node.js that performs Latent Dirichlet allocation topic modeling, extracting topics and related keywords from a collection of documents. It returns an array of topics, each with an array of terms and probabilities, and uses English stop-words by default.
A free curriculum of six courses on agentic AI design patterns for developers and product managers. It covers code, architecture, decisions and hands-on games, with 21 patterns for developers and 15 modules for product managers. No account is needed to read the material.
LearnClash is a quiz duel app in which players face a real opponent 1v1 on general knowledge or a chosen topic. Every answer is explained, and missed questions return after 7 days. Duels are turn-based with a 72-hour window per turn. Duels, explanations and missed-question reviews are free, with no ads.
An introductory machine learning course taught by Caltech Professor Yaser Abu-Mostafa, recorded from a live broadcast and available as a free online MOOC. It covers basic theory, algorithms and applications across 18 lectures, with homework sets and a final exam. Prerequisites are basic probability, matrices and calculus.
Supports teaching, studying or skills practice with AI-guided learning tools.
AI-powered academic assistant for students with note-taking, essay writing, and presentation generation.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
A generic approach that allows to mimic most factorization models by feature engineering.
Supports teaching, studying or skills practice with AI-guided learning tools.
LIBSVM is an integrated software library for support vector classification, regression and distribution estimation. It provides a simple interface for linking with other programs and includes multi-class classification, cross-validation and probability estimates. Interfaces exist for Python, R, MATLAB and other languages.
LightFM is a Python implementation of recommendation algorithms for implicit and explicit feedback. It allows item and user metadata to be incorporated into matrix factorization algorithms, representing users and items as sums of latent feature representations. Installation is available from PyPI, and a Docker setup is provided for running examples and tests.
An MIT OpenCourseWare course covering matrix theory and linear algebra, emphasizing topics useful in physics, economics, social sciences, natural sciences and engineering. It is designed for independent study and includes lecture videos by Gilbert Strang, summary notes, problem solving videos, and problem sets with solutions.
Liveweave is a browser-based workspace for HTML, CSS, and JavaScript with a live preview and an AI coding assistant. It also offers a Python playground, an SVG graphics editor, and a color explorer. The site hosts a showcase of user-created experiments, such as templates and a 3D bowling game.
An interactive educational game built for the Google Gemma 3n Impact Challenge. It uses Gemma 3n via Ollama for on-device, structured educational conversations about sustainable farming and botany, and runs locally with no internet required for core features.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
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.
Machine Learning Mastery is a website that provides educational content such as tutorials, quick start guides, and eBooks to help developers learn and apply machine learning concepts and algorithms. It covers topics like deep learning, computer vision, natural language processing, and specific libraries including TensorFlow, PyTorch, and scikit-learn.
Machine Learning Module is a GitHub repository that claims to host the best machine learning tutorials on the web. It invites contributions from the community and serves as a collection of learning resources for machine learning.