Model Libraries

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. Thes…

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Thanks for checking it out. To get more help: To contribute to Django: To run Django's test …

It just takes a few lines of Python to create a beautiful demo like the one above, so let's get started 💫 You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere …

✨ It just works. ✨ If you want to have a private repository, GitHub won't allow you to simply fork it as it doesn't allow changing the visibility of forks. But you can do the following: After cloning…

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

Recent released features Features released before 2021 are not listed here. Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, …

TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get…

This command installs everything needed for basic Pipelines that use an in-memory DocumentStore. If you want to install only the dependencies needed for model inference on your local hardware (not re…

  Get started with W&B in four steps: That's it! Navigate to the W&B App to view a dashboard of your first W&B Experiment. Use the W&B App to compare multiple experiments in a unified…

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txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. Embeddings databases are a union of vector indexes (sparse and dense), graph networks a…

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Yellowbrick is compatible with Python 3.4 or later and also depends on scikit-learn and matplotlib. The simplest way to install Yellowbrick and its dependencies is from PyPI with pip, Python's prefer…

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Flexible integration for any Python script: Build …

TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualiza…

Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct translation between them installed. For example, if you have…

Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling you to thoroughly test your data and models from research to production. Deepchecks includes: For …

An open collection of methodologies to help with successful training of large language models and multi-modal models. This is a technical material suitable for LLM/VLM training engineers and operator…

CadQuery is an intuitive, easy-to-use Python module for building parametric 3D CAD models. Using CadQuery, you can write short, simple scripts that produce high quality CAD models. It is easy to make…

Managed deployment by the Langfuse team, generous free-tier (hobby plan), no credit card required. You may want to use another integration to get started quickly or implement a use case that we do no…

These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: From here, you can quickly log a dataset: And there you have it, you now…

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based …

This repository contains all the code, notebooks and examples used in this book. We will also be adding bonus content here from time to time. So keep watching this space! Master the essential skills …

You can generate models from a local file. These OSS projects use datamodel-code-generator to generate many models. See the following linked projects for real world examples and inspiration. You can …

A straightforward library that allows you to crawl, clean up, and deduplicate webpages to create massive monolingual datasets. Using this library, you should be able to create datasets larger than th…

Build apps —effortlessly and quickly ⚡. It simplifies Pythonic development for everything from backends to frontends (yes, visually 🦚stunning frontends in Python!), AI integrations, APIs, and beyond—…

This project provides This repo is maintained by me :-) Thanks In the pull request you should Thanks. In the pull request you should Please note that your app should not require high compute power as…