FaaS (Function as a service) framework for writing portable Python functions

Familiar asyncio ORM for python, built with relations in mind

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Deep recommender models using PyTorch.

A TensorFlow recommendation algorithm and framework in Python.

Versatile End-to-End Recommender System

Simple and Distributed Machine Learning

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Optional static typing for Python

LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.

Open-source KVM software

This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…

Move and resize windows on macOS with keyboard shortcuts and snap areas

the AI-native open-source embedding database

🚀 Create and deploy a dynamic portfolio by just providing your GitHub username.

LlamaIndex is a data framework for your LLM applications

AI Observability & Evaluation

A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

The Kubernetes Package Manager

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Run Luigi tasks as Jobs on K8s - An updated Kubernetes contrib

Evaluation and Tracking for LLM Experiments

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Learning embeddings for classification, retrieval and ranking.

Rust bindings for the C++ api of PyTorch.

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

SQL databases in Python, designed for simplicity, compatibility, and robustness.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…