QKeras: a quantization deep learning library for Tensorflow Keras
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Updated
Feb 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 co-design architecture on sparse attention
Accelerator to build a Microsoft Fabric modern data platform using pre-built reusable Fabric items and an orchestration ELT Framework
A Fast Modular Synthesizer in JAX
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 and fine-tuning for enterprise AI. GPU network provisioning is currently in the planning stage.
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. "
Opinionated particle accelerator modeling Python package.
Optimiser for mapping convolutional neural network models to FPGA platforms.
Potku is analysis and simulation software for ToF-ERD measurements
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