Simple, concise implementations of machine learning techniques and utilities in Clojure.
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A lightweight framework for building LLM-based agents.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
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.
Machine Learning Pipelines for Kubeflow.
Machine Learning Toolkit for Kubernetes.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Deep learning framework written in Kotlin.
A Natural Language Processor in JS.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
Koç University Deep Learning Framework.
A library of statistical distribution sampling and transducing functions.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
Easy-to-use, scalable hyperparameter optimization framework.
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.
A python package that integrates an LLM copilot inside the keras model development workflow.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
Winning solution for the Galaxy Challenge on Kaggle.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.