bindbc-onnxruntime

vectorflow

Vectorflow is a lightweight deep learning framework developed by Netflix, designed specifically for efficient neural network training on sparse datasets in single-machine settings. It provides a streamlined alternative to larger frameworks when working with recommendation systems, natural language processing, and other sparse data applications. ## Key Features - **Sparse Data Optimization** — Efficiently handles sparse input data common in recommendation systems and NLP tasks. - **Minimalist Design** — Lightweight library with no external dependencies beyond a D compiler. - **Single-Machine Focus** — Optimized for training on individual servers rather than distributed clusters. - **D Language Implementation** — Built using the D programming language for performance and simplicity. - **Easy Integration** — Distributed as a dub package for straightforward dependency management. ## Philosophy Vectorflow prioritizes simplicity and efficiency, offering a focused toolset for sparse data problems without the overhead of larger, more complex deep learning frameworks.

tfd

Tensorflow wrapper for D

grain2

Autograd and GPGPU library for dynamic neural networks in D