Alternatives and similar repositories for FPGA-Project-2022-simple-tpu

Users that are interested in FPGA-Project-2022-simple-tpu are comparing it to the libraries listed below

• 8krisv / CNN-ACCELERATOR
  Hardware accelerator for convolutional neural networks
  ☆60Updated 3 years ago
• ryaanluke / DNN-Hardware-Accelerator
  SystemVerilog files for lab project on a DNN hardware accelerator
  ☆18Updated 4 years ago
• BoooC / CNN-Accelerator-Based-on-Eyeriss-v2
  A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
  ☆122Updated 5 months ago
• karthisugumar / CSE240D-Hierarchical_Mesh_NoC-Eyeriss_v2
  A SystemVerilog implementation of Row-Stationary dataflow and Hierarchical Mesh Network-on-Chip Architecture based on Eyeriss CNN Acceler…
  ☆177Updated 6 years ago
• Mattjesc / Efficient-FPGA-CNN-Accelerator
  Efficient FPGA-Based Accelerator for Convolutional Neural Networks
  ☆37Updated last year
• suchuankai / CNN-hw-accelerator
  CNN hardware accelerator to accelerate quantized LeNet-5 model
  ☆41Updated 2 years ago
• arasi15 / CNN-Accelerator-Implementation-based-on-Eyerissv2
  ☆123Updated 5 years ago
• dldldlfma / super_small_toy_tpu
  ☆45Updated 4 years ago
• eda-lab / CNNAF-CNN-Accelerator_init
  CNN-Accelerator based on FPGA developed by verilog HDL.
  ☆48Updated 5 years ago
• lirui-shanghaitech / CNN-Accelerator-VLSI
  Convolutional accelerator kernel, target ASIC & FPGA
  ☆236Updated 2 years ago
• Dazhuzhu-github / systolic-array
  verilog实现TPU中的脉动阵列计算卷积的module
  ☆144Updated 7 months ago
• erihsu / INT_FP_MAC
  INT8 & FP16 multiplier accumulator (MAC) design with UVM verification completed.
  ☆109Updated 5 years ago
• CodeNameGrapefruit / SoC_CNN
  Convolutional Neural Network Implemented in Verilog for System on Chip
  ☆28Updated 6 years ago
• ac-optimus / Convolution-using-systolic-arrays
  ☆71Updated 7 years ago
• suoglu / Fixed-Floating-Point-Adder-Multiplier
  16-bit Adder Multiplier hardware on Digilent Basys 3
  ☆83Updated 2 years ago
• djtfoo / lenet5-verilog
  A Verilog design of LeNet-5, a Convolutional Neural Network architecture
  ☆34Updated 5 years ago
• HanPU-Code / CNN_YOLO_AI_accelerator
  This project is to design yolo AI accelerator in verilog HDL.
  ☆28Updated last year
• leo47007 / TPU-Tensor-Processing-Unit
  IC implementation of TPU
  ☆142Updated 6 years ago
• VincentWang1998 / ai_on_chip_project1
  tpu-systolic-array-weight-stationary
  ☆25Updated 4 years ago
• debtanu09 / systolic_array_matrix_multiplier
  This is a verilog implementation of 4x4 systolic array multiplier
  ☆71Updated 5 years ago
• kuladeepsaireddy / OpenNoc
  ☆39Updated 6 years ago
• boaaaang / CNN-Implementation-in-Verilog
  Convolutional Neural Network RTL-level Design
  ☆72Updated 4 years ago
• zhangzek / 3x3_matrix_Systolic_Array_multiplier
  3×3脉动阵列乘法器
  ☆50Updated 6 years ago
• mayshin10 / CNN-Accelerator
  Designing CNN accelerator using a Xilinx FPGA board and comparing performance with CPU.
  ☆21Updated 4 years ago
• FedericoSerafini / HLS-CNN
  High Level Synthesis of a trained Convolutional Neural Network for handwritten digit recongnition.
  ☆41Updated last year
• thedatabusdotio / fpga-ml-accelerator
  This repository hosts the code for an FPGA based accelerator for convolutional neural networks
  ☆173Updated last year
• maomran / softmax
  Verilog implementation of Softmax function
  ☆78Updated 3 years ago
• Parimala6 / Floating-point-MAC-verilog
  32 - bit floating point Multiplier Accumulator Unit (MAC)
  ☆33Updated 4 years ago
• Basantloay / Softmax_CNN
  This repository contains full code of Softmax Layer in Verilog
  ☆20Updated 5 years ago
• louislxw / pe_array
  A linear array of PEs with RISC-V ISA targeting extreme high frequency on Xilinx ZYNQ Ultrascale+, specificially for applications such as…
  ☆13Updated last year