Seamlessly integrate LLMs as Python functions

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Code with the flow of a river, refactor with the grace of a breeze, and commit like the thunder — always moving, gently improving, and powerfully finalizing.

JTokkit is a Java tokenizer library designed for use with OpenAI models.

GPT model token counter, with extra support for OpenAI's completion API

Track the progress of LLM context utilisation

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

Large Language Model Text Generation Inference

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Amplify your team's potential with customizable and secure AI assistants.

Examples and guides for using the OpenAI API

A library for efficient similarity search and clustering of dense vectors.

A data index and query language over Markdown files, for https://obsidian.md/.

The Swift Programming Language book

A state-of-the-art semi-supervised method for image recognition

Model interpretability and understanding for PyTorch

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Containers for machine learning

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

Open source tools for computational pathology - Nature BME

An easy to use PyTorch to TensorRT converter

A collection of infrastructure and tools for research in neural network interpretability.