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Leland Wilkinson's engine for automatic visualizations of tabular datasets
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Lightweight lab to run grounded agent security/safety experiments with SHIM demos now and REAL adapters as they’re available.
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality…
Repo for AI Republic's AI Engineering Course - Winter 2024
A place for ideas and drafts related to GAI risk management.
This repository stems from our paper, “Cataloguing LLM Evaluations”, and serves as a living, collaborative catalogue of LLM evaluation frameworks, benchmarks and papers.
Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Learn how to develop, deploy and iterate on production-grade ML applications.
A Python Library of Curated Disparity Testing Metrics for Use in Real-World Settings
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
PyTorch package to train and audit ML models for Individual Fairness
Create apps 10x quicker, without Javascript/HTML/CSS.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Realtime Web Apps and Dashboards for Python and R
A Total-IDE Dark RStudio Theme inspired by Apple's dark aestheticcc.
Let AI agents browse the web. An autonomous toolkit for browser-based AI agents.
Article for Special Edition of Information: Machine Learning with Python