a fast, scalable, multi-language and extensible build system

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Empowering everyone to build reliable and efficient software.

The Scala 3 compiler, also known as Dotty.

Apache Spark - A unified analytics engine for large-scale data processing

A Native-PyTorch Library for LLM Fine-tuning

An implementation of the Build Server Protocol for Bazel

Visual Studio Code

Pytorch to Keras/Tensorflow/TFLite conversion made intuitive

Bazel support for Visual Studio Code

Making large AI models cheaper, faster and more accessible

Bazel BSP Server

Property-based testing for Scala

Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.

Framework and Language for Neurosymbolic Programming. Join Our Discord: https://discord.gg/RavzdND229

Beautiful Text-based User Interfaces for Scala

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

A type-safe typescript SQL query builder

Guide to using pre-trained large language models of source code

Hackable and optimized Transformers building blocks, supporting a composable construction.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Official Rust implementation of Apache Arrow

GPU accelerated deep learning and numeric computing for Scala 3.

Scala bindings for LibTorch

A simple Rust like Result type for Python 3. Fully type annotated.

GitHub Action for setting up GraalVM distributions.

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering