introspecting Goto Github PK

autodnnchip

buildroot

Buildroot source code using to create rootfs for NVDLA image

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

chaidnn

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

chisel-tutorial

chisel tutorial exercises and answers

deep-residual-networks

Deep Residual Learning for Image Recognition

depthwiseconv-hls

使用HLS设计一个可分卷积（High Level Synthesis）模块，以在FPGA上对其进行加速。

dnnweaver2

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

finn

Dataflow compiler for QNN inference on FPGAs

fracbnn

halide-hls

HLS branch of Halide

heterohalide

HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration

high-level-synthesis-flow-on-zynq-using-vivado-hls

This course provides professors with an understanding of high-level synthesis design methodologies necessary to develop digital systems using Vivado HLS. Now under 2018.2 version.

hls-tiny-tutorials

hw

RTL, Cmodel, and testbench for NVDLA

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

mtcnn_with_hls_on_fpga

MTCNN with convolution reprogramed in c

neuro-vectorizer

NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops in C and C++ codes.

nvdla-parser

A NVDLA Loadable Parser.

nvdla-workload

Base NVDLA Workload for FireMarshal

nvdla_riscv

nvdlasmalltracetest

NVDLA small版本的踪迹测试，用于在裸机环境下运行。

personal

riscv-linux

skynet

sw

NVDLA SW

verilog-axi

Verilog AXI components for FPGA implementation

vp

Virtual Platform for NVDLA

yolov2_xilinx_fpga

A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard