Keras provides machine-learning models, research, training resources, or evaluation tools.
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.
A python package that integrates an LLM copilot inside the keras model development workflow.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Easy-to-use, scalable hyperparameter optimization framework.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
A library of statistical distribution sampling and transducing functions.
Koç University Deep Learning Framework.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
A Natural Language Processor in JS.
Capture your ideas, connect them, and grow them into something you can actually use. AI that works alongside your thinking, not instead of it.
A Python package for Korean natural language processing.
Deep learning framework written in Kotlin.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine Learning Toolkit for Kubernetes.
Machine Learning Pipelines for Kubeflow.
A weekly news and interview show with insight from the Kubernetes community.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Build, packaging, and run system for ephemeral multi-container environments.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
A lightweight framework for building LLM-based agents.
LAION provides machine-learning models, research, training resources, or evaluation tools.
Simple, concise implementations of machine learning techniques and utilities in Clojure.