Examples and guides for using the OpenAI API

🔊 Text-Prompted Generative Audio Model

A guidance language for controlling large language models.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

LAVIS - A One-stop Library for Language-Vision Intelligence

QLoRA: Efficient Finetuning of Quantized LLMs

AI Observability & Evaluation

A course on aligning smol models.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

A Bulletproof Way to Generate Structured JSON from Language Models

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Efficient few-shot learning with Sentence Transformers

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

OmniXAI: A Library for eXplainable AI

SGPT: GPT Sentence Embeddings for Semantic Search

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpyth…

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

Collection of scripts and notebooks for OpenAI's latest GPT OSS models

SpanMarker for Named Entity Recognition

UI interface for experimenting with multimodal (text, image) models (stable diffusion).