4 repos
Awesome GitHub RepositoriesMachine Learning Platforms
Integrated environments that provide end-to-end tools for building, training, and managing machine learning applications and workflows.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Machine Learning Platforms. Refine with filters or upvote what's useful.
Awesome Machine Learning Platforms GitHub Repositories
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- josephmisiti/awesome-machine-learning
This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify disco
Python - hiyouga/LlamaFactory
LlamaFactory is a unified framework for fine-tuning and adapting large language models. It provides a comprehensive platform that standardizes training workflows across diverse machine learning architectures, allowing users to execute both full-tuning and parameter-efficient methods through a single interface. The pro
Pythonagentaideepseek - FoundationAgents/MetaGPT
MetaGPT is an agentic workflow engine and multi-agent orchestration framework designed to automate complex software engineering and data analysis tasks. It functions as an automated software factory that transforms high-level natural language requirements into functional web applications, technical documentation, and p
Pythonagentgptllm - unslothai/unsloth
Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade
Pythonagentdeepseekdeepseek-r1
Explore sub-tags
- AI Web Application BuildersTools that generate full-stack web applications from natural language product requirements.
- Large Language Model Fine-Tuning FrameworksTools and platforms specifically designed to adapt pre-trained large language models to specific tasks or datasets through fine-tuning.
- Low-Code Machine Learning ToolsVisual interfaces and abstraction layers that allow users to build and train machine learning models with minimal manual coding.