thehardwarestore.ai

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── 99172 repos indexed ── | filtered by tag: #quantization-aware-training
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google/praxis ★ 200 45 APPLICATION

Praxis is a JAX-based deep learning library designed for building and training large-scale machine learning models. It provides a comprehensive suite of neural network layers (transformers, convolutions, normalizations, etc.) with advanced features like quantization-aware training, sparsity techniques, and video processing components. The library emphasizes modularity through Fiddle-based configuration and includes utilities for beam search decoding, input processing, and model parallelism. Praxis is actively maintained with extensive test coverage and demonstrates strong engineering practices in its abstraction layers and hardware-specific optimizations.

RATING: 8.7/10 MAINT: active DRIFT: low
#jax-library #transformer-layers #quantization-aware-training #model-compression #beam-search #pax-fiddle #sparsity #video-models
▸ 3 reusable components found
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