JiawenDeng's Stars
datawhalechina/awesome-compression
模型压缩的小白入门教程
JansonYuan/Pytorch-Camp
greebear/pytorch-learning
lxysl/mit-bih_ecg_recognition
MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch
openhwgroup/cv32e40p
CV32E40P is an in-order 4-stage RISC-V RV32IMFCXpulp CPU based on RI5CY from PULP-Platform
cxdzyq1110/NPU_on_FPGA
在FPGA上面实现一个NPU计算单元。能够执行矩阵运算(ADD/ADDi/ADDs/MULT/MULTi/DOT等)、图像处理运算(CONV/POOL等)、非线性映射(RELU/TANH/SIGM等)。
vortexgpgpu/vortex
ym31433/NPU-Architecture
CS533 Course Project (ongoing) - Exploring Parallel Architectures for Neural Processing Unit Implementations
arc-research-lab/CHARM
CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture
hypocrasy/NPUSoC
第四届全国大学生嵌入式比赛SoC
thousrm/universal_NPU-CNN_accelerator
hardware design of universal NPU(CNN accelerator) for various convolution neural network
dineshannayya/riscduino
Arduino compatible Risc-V Based SOC
basicmi/AI-Chip
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
ahmedshahein/DSP-RTL-Lib
RTL Verilog library for various DSP modules
hunterlew/convolution_network_on_FPGA
CNN acceleration on virtex-7 FPGA with verilog HDL
sudhamshu091/32-Verilog-Mini-Projects
Implementing 32 Verilog Mini Projects. 32 bit adder, Array Multiplier, Barrel Shifter, Binary Divider 16 by 8, Booth Multiplication, CRC Coding, Carry Select and Carry Look Ahead Adder, Carry Skip and Carry Save Adder, Complex Multiplier, Dice Game, FIFO, Fixed Point Adder and Subtractor, Fixed Point Multiplier and Divider, Floating Point IEEE 754 Addition Subtraction, Floating Point IEEE 754 Division, Floating Point IEEE 754 Multiplication, Fraction Multiplier, High Radix Multiplier, I2C and SPI Protocols, LFSR and CFSR, Logarithm Implementation, Mealy and Moore State Machine Implementation of Sequence Detector, Modified Booth Algorithm, Pipelined Multiplier, Restoring and Non Restoring Division, Sequential Multiplier, Shift and Add Binary Multiplier, Traffic Light Controller, Universal_Shift_Register, BCD Adder, Dual Address RAM and Dual Address ROM
cxdzyq1110/posture_recognition_CNN
To help machines learn what we human beings are doing via a camera is important. Once it comes true, machines can make different responses to all kinds of human's postures. But the process is very difficult as well, because usually it is very slow and power-consuming, and requires a very large memory space. Here we focus on real-time posture recognition, and try to make the machine "know" what posture we make. The posture recognition system is consisted of DE10-Nano SoC FPGA Kit, a camera, and an HDMI monitor. SoC FPGA captures video streams from the camera, recognizes human postures with a CNN model, and finally shows the original video and classification result (standing, walking, waving, etc.) via HDMI interface.
AlexKly/Simple-Voice-Activity-Detector-using-MFCC-based-on-FPGA-Kintex
Voice Activity Detector based on MFCC features and DNN model
lp6m/ImageDetectionHW2
HOG + SVM on FPGA
HermannLiang/msc-stress
MSc Project: Quantifying Stress Pattern. A 9-month individual research project, as a part of my MSc Communication & Signal Processing at Imperial College London. (ECG, HRV, SVM, LSTM, MATLAB)
venturit/ecg_classification
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
mondejar/ecg-classification
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
AshwinSundar/Empirical-Mode-Decomposition-for-MIT-BIH-Arrhythmia-Data
Biomedical Engineering Master's Project at Arizona State University
arshanh/CNN-arrhythmia-dection
A 1D Convolutional Neural Network I trained to detect 5 types of arrhythmia in heartbeats taken from the MIT/BIH Arrhythmia Database
fengyulin1996/Verilog-DSP
FIR,FFT based on Verilog
danieleninni/fir-filter-fpga
Design and implementation of a reconfigurable FIR filter in FPGA
mabrains/PLL_design
PLL Designs on Skywater 130nm MPW
loykylewong/FPGA-Application-Development-and-Simulation
《FPGA应用开发和仿真》(机械工业出版社2018年第1版 ISBN:9787111582786)的源码。Source Code of the book FPGA Application Development and Simulation(CHS).
uwemeyerbaese/DSP_with_FPGAs_ed4
DSP with FPGAs 4. edition ISBN: 978-3-642-45308-3
damdoy/ice40_ultraplus_examples
Examples for iCE40 UltraPlus FPGA: BRAM, SPRAM, SPI, flash, DSP and a working RISC-V implementation