Highlights
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The official repository of Mozilla's Firefox web browser.
verl: Volcano Engine Reinforcement Learning for LLMs
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
10000LLMPerf is a library for validating and benchmarking LLMs
DSPy: The framework for programming—not prompting—language models
A high-throughput and memory-efficient inference and serving engine for LLMs
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
RayLLM - LLMs on Ray (Archived). Read README for more info.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
CLI commands for processing cloud data using scale out processing in IBM Cloud with Ray
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
Pytorch Lightning Distributed Accelerators using Ray
Model parallel transformers in JAX and Haiku
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Research language for array processing in the Haskell/ML family
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Real-time Monitoring and Analysis of Data Streams
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A framework for connecting scientific models across languages and scales.
Modin: Scale your Pandas workflows by changing a single line of code
An implementation of the Augmented Random Search algorithm