QKeras: a quantization deep learning library for Tensorflow Keras
-
Updated
Jun 13, 2025 - Python
QKeras: a quantization deep learning library for Tensorflow Keras
Algebraic enhancements for GEMM & AI accelerators
oneAPI Specification source files
A diffuser implementation of Zero123. Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV23)
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.
A Fast Modular Synthesizer in JAX @ AES'23
A co-design architecture on sparse attention
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.
A Fast DNN Accelerator Design Space Exploration Framework.
Accelerating Recommender model training by leveraging popular choices -- VLDB 2022
The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing, training and fine-tuning for enterprise AI. RoCE Network provisioning is also inlcuded.
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Opinionated particle accelerator modeling Python package.
Potku is analysis and simulation software for ToF-ERD measurements
A template that shows how to setup MLOps in Azure AI Search using pull approach
Visual System Integrator - Accelerate your embedded development
This project demonstrates the high performance of OpenVINO asynchronous inference API
Optimiser for mapping convolutional neural network models to FPGA platforms.
Add a description, image, and links to the accelerator topic page so that developers can more easily learn about it.
To associate your repository with the accelerator topic, visit your repo's landing page and select "manage topics."