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JAX and Keras

Python libraries for large-scale machine learning

GSoC Participation History

Technologies

Topics

Past Projects

Benchmarking and Improving Large Language Model Serving Performance

Large Language Model (LLM) serving frameworks like vLLM must deliver high throughput and low latency to justify the substantial cost of GPU and TPU...

Integrating VBLoRA into Keras

VB-LoRA (Vector Bank Low-Rank Adaptation) is a parameter-efficient fine-tuning technique that extends LoRA (Low-Rank Adaptation) by introducing a...

Topics:mlai
beginner

Implement open LLM models with JAX and Flax

As interest in large language models continues to grow, many open-source implementations exist across various frameworks—but accessible, modular, and...

Topics:aiui

"Pomni" - JAX Code Assistant

Current Frontier LLMs are really bad at assisting with writing JAX code due to the sparse resources spread across multiple different forums and...

Topics:webapiaiuiux

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JAX and Keras | GSoC Org Profile & Stats - Learn about JAX and Keras's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.

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