Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.
cnn-accelerator 开源项目推荐(38 个)
cnn-accelerator 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 38 个仓库卷积加速器内核,目标ASIC和FPGA
hardware design of universal NPU(CNN accelerator) for various convolution neural network
A FPGA Based CNN accelerator, following Google's TPU V1.
A DNN Accelerator implemented with RTL.
Performance and resource models for fpgaConvNet: a Streaming-Architecture-based CNN Accelerator.
基于Xilinx FPGA的通用型 CNN卷积神经网络加速器,本设计基于KV260板卡,MpSoC架构均可移植
2023年全国大学生集成电路创新创业大赛-海运捷讯杯-全国二等奖作品 FPGA-Based SSD-MobileNet Acceleator; CNN Acceleator; China IC Competition
Low level design of a chip built for optimizing/accelerating CNN classifiers over gray scale images.
Small-scale FPGA-based Neural Processing Unit (CNN Accelerator) with INT8 systolic array matrix multiplication in Verilog.
Modified version of the "Explore the energy-efficient dataflow scheduling for neural networks. "
Parameterized NxN systolic-array NPU for signed matrix multiplication, implemented in SystemVerilog RTL and verified using UVM, SVA, directed testing, formal verification, functional coverage, and multi-configuration regression.
SystemVerilog FPGA acceleration of LeNet-5 CNN for Fashion-MNIST classification, powered by a 5x5 2D Torus Systolic Array with bit-exact Python simulator, and out-of-context Vivado synthesis benchmarks.
Zynq-7000 based hyperspectral PhiPSII edge inference with an INT16 CNN accelerator, AX7020/PYNQ-Z2 deployment and reproducible RTL validation.
Synthesizable INT8 CNN accelerator with bit-exact Python/RTL verification and a replaceable MAC interface.
Parameterizable output-stationary INT8 systolic MAC array in Verilog, extended into a weight-stationary 3-layer CNN accelerator (Conv1->Conv2->FC) with interlayer requantization. 20/20 samples bit-exact end-to-end vs a Python golden model; 1,900-case model sweep plus a 206-case constrained-random SV suite. CI on every push.
CNN accelerator datapath components
Verified LeNet-5 int8 inference datapath in SystemVerilog, with a bit-exact Python oracle and real sky130hd PPA (pre-layout).
Verilog implementation of a CNN-style image processing pipeline with convolution, activation, pooling, and RTL-based verification.
From Verilog to an MNIST CNN accelerator on Spartan-7 / Zynq — line buffers, UART, custom AXI IP, Sobel filtering
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/cnn-accelerator。
- 该话题在 GitHub 上共有 38 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1118 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
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