github.com
High performance library for time series distances (DTW) and time series clustering.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
durable.com
Durable is an AI-powered business builder platform. It enables users to create websites with AI, improve discoverability via SEO and GEO, manage customers, and use AI marketing tools within a single application.
github.com
Design and Deploy Large Language Model Apps.
dvc.org
DVC (Data Version Control) is an open-source version control system for data science and machine learning projects. It provides a Git-like experience for organizing data, models, and experiments, with free offerings for individual data scientists and enterprise teams.
github.com
DVClive is an open-source tool that logs and tracks machine learning metrics, parameters, and models using Git and/or DVC. It is hosted on GitHub as the repository treeverse/dvclive. It provides a simple interface for experiment tracking.
github.com
GitHub account of Derrick Schultz, an artist who uses code, describing most of the work as not production level. Listed repositories include ml-art-colabs, a list of Machine Learning Art Colabs, and dataset-tools, tools for quickly normalizing image datasets.
github.com
Scala Library/REPL for Machine Learning Research.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
diogocortiz.com.br
E se estivermos usando uma IA pseudocientífica? - Diogo Cortiz provides machine-learning models, research, training resources, or evaluation tools.
github.com
An evolutionary optimization library.
blog.eladgil.com
Early days of AI is a blog post by Elad Gil that discusses the early development of machine learning systems and the AI hype cycle. Gil argues that recent advances like transformers and diffusion models represent a new era, distinct from previous AI. He draws on his experience at Google, Twitter, and as an investor.
edenai.co
Eden AI offers a unified API for accessing large language models and specialist AI models, including OCR, speech, translation and vision. It standardizes requests, responses, authentication, billing and monitoring across providers, and supports routing requests by cost, performance and region.
edgeimpulse.com
Edge Impulse is an MLOps platform for edge AI and physical AI. It provides native MLOps workflows covering end-to-end pipelines, security, versioning and model monitoring, and is used to develop, deploy and manage AI solutions at scale across the edge hardware ecosystem. A Developer plan is offered at $0 per month.
github.com
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Python package which helps to debug machine learning classifiers and explain their predictions.
uatgpt.com
Embedding Similarity Calculator provides machine-learning models, research, training resources, or evaluation tools.
unlocked.microsoft.com
This is an article by Terence Tao, Professor of Mathematics at the University of California, Los Angeles, published as part of Microsoft Unlocked's AI Anthology. It discusses human expectations of information technology, including historical performance improvement trends, input data requirements for software tools, and interoperability challenges between different tools and providers.
github.com
emel is a simple and functional machine learning library built for the Erlang ecosystem and implemented in Gleam. It turns data into functions and supports installing through rebar.config, mix.exs or gleam add. Implemented algorithms include linear regression, k nearest neighbors, decision tree, naive Bayes, k means, perceptron, logistic regression and neural network, along with mathematics, algebra, geometry and statistics.
emgu.com
Emgu CV is a cross-platform .NET wrapper to the OpenCV image processing library, allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, and can run on Windows, Linux, Mac OS, iOS and Android. Releases are available on GitHub and NuGet.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Entroly is a tool designed to reduce AI context costs. It performs reversible, byte-exact recoverable context reductions that include auditable receipts, operates in a local-first manner, and is compatible with proxy, MCP, SDK, and agent wrapper integrations.
github.com
Machine learning development environment for data science and AI/ML engineering teams.