Showing 6 of 6 projects
Run large language models (LLMs) privately on everyday desktops and laptops without requiring API calls or GPUs.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An LLM acceleration library for Intel XPU (GPU, NPU, CPU) to speed up local inference and finetuning of popular models.
A .NET binding to the TensorFlow C API for running existing machine learning models in C# and F#.
A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
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