23 Repositories
Python fpga-accelerators Libraries
Azure MLOps (v2) solution accelerators.
Azure MLOps (v2) solution accelerator Welcome to the MLOps (v2) solution accelerator repository! This project is intended to serve as the starting poi
QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive parallelism
QDax: Accelerated Quality-Diversity QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive paralleli
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration Stefan Abi-Karam*, Yuqi He*, Rishov Sarkar*, Lakshmi Sathidevi, Zihang Qiao, Co
DaCe is a parallel programming framework that takes code in Python/NumPy and other programming languages
aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c
BarcodeRattler - A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC
Barcode Rattler A Raspberry Pi Powered Barcode Reader to load a game on the Mist
Python bindings for Basler's VisualApplets TCL script generation
About visualapplets.py The Basler AG company provides a TCL scripting engine to automatize the creation of VisualApplets designs (a former Silicon Sof
A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
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SAMO: Streaming Architecture Mapping Optimisation
SAMO: Streaming Architecture Mapping Optimiser The SAMO framework provides a method of optimising the mapping of a Convolutional Neural Network model
720p FPGA Media Player (RISC-V + Motion JPEG + SD + HDMI on an Artix 7)
FPGA Media Player This project is a FPGA based media player which is capable of playing Motion JPEG encoded video over HDMI or VGA on commonly availab
Here I will explain the flow to deploy your custom deep learning models on Ultra96V2.
Xilinx_Vitis_AI This repo will help you to Deploy your Deep Learning Model on Ultra96v2 Board. Prerequisites Vitis Core Development Kit 2019.2 This co
A refreshed Python toolbox for building complex digital hardware
A refreshed Python toolbox for building complex digital hardware
Pyccel stands for Python extension language using accelerators.
Pyccel stands for Python extension language using accelerators.
FPGA based USB 2.0 high speed audio interface featuring multiple optical ADAT inputs and outputs
ADAT USB Audio Interface FPGA based USB 2.0 High Speed audio interface featuring multiple optical ADAT inputs and outputs Status / current limitations
A Python library for differentiable optimal control on accelerators.
A Python library for differentiable optimal control on accelerators.
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
FPGA & FreeNet Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification by Zhuo Zheng, Yanfei Zhong, Ailong M
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
This repository contains the SystemVerilog RTL, C++, HLS (Intel FPGA OpenCL to wrap RTL code) and Python needed to reproduce the numerical results in
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
CoSA is a scheduler for spatial DNN accelerators that generate high-performance schedules in one shot using mixed integer programming
Bucatini: a soft PIPE PHY for FPGA SerDes
Bucatini: a soft PIPE PHY for FPGA SerDes Bucatini is a noodly gateware layer capable of transforming an FPGA SerDes into a PIPE PHY, allowing you to
Pytorch Lightning Distributed Accelerators using Ray
Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning plugins for distributed training using the Ray distributed compu
Pytorch Lightning Distributed Accelerators using Ray
Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning accelerators for distributed training using the Ray distributed
QKeras: a quantization deep learning library for Tensorflow Keras
QKeras github.com/google/qkeras QKeras 0.8 highlights: Automatic quantization using QKeras; Stochastic behavior (including stochastic rouding) is disa
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