Fine-tuning.
Train or adapt open models on your own GPU. LoRA, full fine-tunes, and tooling around datasets and recipes.
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- TabFormerCode & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)Apache 2.0 · Linux371
- clinical-calculator-tooluseExplorations into training LLMs to use clinical calculators from patient history, using open sourced models. Will start with Wells' CriteriaMIT · Linux316
- LLMVaultAn intentionally vulnerable OWASP LLM Top 10 training platform for AI Security, Prompt Injection, RAG Security, Agent Security, and GenAI penetration testing.MIT · Linux, Docker312
- BRIGHT[ESSD 2025 & IEEE DFC 2025 & CVPRW 2026] Bright: A globally distributed multimodal VHR dataset for all-weather disaster responseApache 2.0 · Linux253
- TinyTorchA lightweight deep learning training framework implemented from scratch in C++, featuring a PyTorch-style API.MIT · Linux218
- AI-Blueprints📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀MIT · Linux216
- BlossomLMA powerful, open-source large language model, including the training data.Apache 2.0 · Linux183
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