QKeras: a quantization deep learning library for Tensorflow Keras

Deep learning accelerator architectures requiring half the multipliers

oneAPI Specification source files

A diffuser implementation of Zero123. Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV23)

A Fast DNN Accelerator Design Space Exploration Framework.

Filter accelerometer data to produce a clear trace

A co-design architecture on sparse attention

A Fast Modular Synthesizer in JAX

This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AI 100 accelerators.

Accelerating Recommender model training by leveraging popular choices -- VLDB 2022

Intel’s HERACLES accelerator introduces a new set of fundamental instructions, the Polynomial Instructions Set Architecture (P-ISA) that operates directly on polynomials requiring a completely new programming environment. This open-source project aims at developing the building blocks for a compiler toolchain for HERACLES.

The project focuses on Intel’s enterprise AI and cloud native foundation for Red Hat OpenShift Container Platform (RHOCP) solution enablement and innovation including Intel data center hardware features, Intel technology enhanced AI platform and the referenced AI workloads provisioning for OpenShift.

Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit

Visual System Integrator - Accelerate your embedded development

Modified version of the "Explore the energy-efficient dataflow scheduling for neural networks. "

Dozent is a powerful downloader that is used to collect large amounts of Twitter data from the internet archive.

Opinionated particle accelerator modeling Python package.

Potku is analysis and simulation software for ToF-ERD measurements

Optimiser for mapping convolutional neural network models to FPGA platforms.