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Winning solution for the Galaxy Challenge on Kaggle.
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A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
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Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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A python package that integrates an LLM copilot inside the keras model development workflow.
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Easy-to-use, scalable hyperparameter optimization framework.
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A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
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Koç University Deep Learning Framework.
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A Natural Language Processor in JS.
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Deep learning framework written in Kotlin.
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Machine Learning Toolkit for Kubernetes.
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Machine Learning Pipelines for Kubeflow.
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Build, packaging, and run system for ephemeral multi-container environments.
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LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
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A lightweight framework for building LLM-based agents.
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Simple, concise implementations of machine learning techniques and utilities in Clojure.
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FastAPI framework to build production-grade LLM applications.
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Serverless LLM apps on Production with Jina AI Cloud (Archived).
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Julia package for working with various human languages.
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AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Energy-based machine learning models built upon PyTorch.
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Lightly is a computer vision framework for self-supervised learning.
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Explaining the predictions of any machine learning classifier.
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A comprehensive toolkit to build Machine Learning applications with Rust.
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The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.