A lightweight task engine for building AI agents that prioritizes simplicity and flexibility.

Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

Notebook Examples used in machine learning writing and research

A portable fNIRS data storage format

DOT-HUB toolbox that supports all the steps required to go from raw fNIRS/DOT/HD-DOT data to 3D and GM-surface images

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Code for 'Emergent Analogical Reasoning in Large Language Models'

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Bash function for displaying next actions in plain-text files per project directory

A reproduction of paper "Risk prediction in life insurance industry using supervise learning algorithms".

Code and documentation to train Stanford's Alpaca models, and generate the data.

Supercharged experience for multiple models such as ChatGPT, DALL-E and Stable Diffusion.

A programming language for LLM Guardrails, Typesafey, and Observability

ChatGPT-Style Web UI Client for Ollama 🦙

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

build visual exploration app using pygwalker in streamlit

LLM-powered Conversational AI experience using Vectara

AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.

The no-code platform for building custom LLM Agents

Network Analysis in Python

Minimalistic UI for Ollama LMs - This powerful react interface for LLMs drastically improves the chatbot experience and works offline.

🌸 The open framework for question answering fine-tuning LLMs on private data