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rajeshpandit107's Projects

accdnn icon accdnn

A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.

cnn_open icon cnn_open

A hardware implementation of CNN, written by Verilog and synthesized on FPGA

combinational-bnn icon combinational-bnn

System Verilog code describing a fully combinational binarized neural network.

convolutional-neural-network-hardware-using-verilog icon convolutional-neural-network-hardware-using-verilog

A project on hardware design for convolutional neural network. This neural network is of 2 layers with 400 inputs in the first layer. This layer takes input from a memory. A MATLAB script was created to get the floating point inputs and convert it to 7 bit signed binary output. This was done for inputs as well as the weights in these two layers. Sigmoid case statement was also implemented in verilog to get the sigmoid values for intermediate outputs in a layer. This design was simulated and synthesized at 50 MHz on Quartus Prime 17.0. The FPGA family was Cyclone V. Total logic elements used were 724, total bits used 121856(only 50% use of memory).

dnnbp icon dnnbp

Deep Neural Network with back propagation implemented in Verilog.

dnnweaver2 icon dnnweaver2

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

fpga-cnn icon fpga-cnn

FPGA implementation of Cellular Neural Network (CNN)

fpga_based_cnn icon fpga_based_cnn

FPGA based acceleration of Convolutional Neural Networks. The project is developed by Verilog for Altera DE5 Net platform.

hardware-cnn icon hardware-cnn

A convolutional neural network implemented in hardware (verilog)

hdlparse icon hdlparse

Simple parser for extracting VHDL documentation

hls4ml icon hls4ml

Machine learning in FPGAs using HLS

hw icon hw

RTL, Cmodel, and testbench for NVDLA

myhdl icon myhdl

The MyHDL development repository

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