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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
LlamaIndex is the leading document agent and OCR platform
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Go ahead and axolotl questions
Low-code framework for building custom LLMs, neural networks, and other AI models
Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
OneTrainer is a one-stop solution for all your Diffusion training needs.
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Synthetic data curation for post-training and structured data extraction