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JAX and Keras

Python libraries for large-scale machine learning

Artificial Intelligence
GitHubWebsite
1Year in GSoC
2025
4Total projects
4Projects that year
4Projects in 2025

About

This organization has projects for JAX and Keras, two great machine learning libraries.

JAX is a Python library built for high-performance machine-learning research that leverages the familiarity of NumPy with the power of hardware acceleration on CPUs, GPUs, and TPUs.

Keras is a user-friendly and powerful deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch

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Technologies

PythonMachine learningArtificial intelligence

Recent projects

  1. 2025Benchmarking and Improving Large Language Model Serving PerformanceGSoC page
  2. 2025Integrating VBLoRA into KerasGSoC page
  3. 2025Implement open LLM models with JAX and FlaxGSoC page
  4. 2025"Pomni" - JAX Code AssistantGSoC page

Links & contact

SourceGSoCIdeas listGuideMailing listBlog

Apache-2.0 license