Uniform deep learning inference framework for mobile, desktop and server.
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Free Course and Certification for building an end-to-end machine using W&B.
Curated list of Federated Learning Systems related academic papers, articles, tutorials, slides and projects.
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
Learning Coach provides AI-assisted learning, courses, tutorials, or study support.
Supports teaching, studying or skills practice with AI-guided learning tools.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
Practical principles for building controllable LLM applications around deterministic software.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
MCP server for Todoist integration enabling natural language task management with Claude.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Advances in Evolutionary Algorithms. Edited by: Witold Kosinski. ISBN 978-953-7619-11-4, PDF ISBN 978-953-51-5796-0, Published 2008-11-01.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.
An Artificial Intelligence Automation Platform.
Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.