Furqan-VLSI

Furqan-VLSI's Stars

• Thonner/NeuromorphicProcessor

  Neuromorphic hardware implementaion for Master thesis

  Language:Scala62

• lava-nc/lava

  A Software Framework for Neuromorphic Computing

  Language:Jupyter Notebook551141

• open-neuromorphic/awesome-neuromorphic-hw

  Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

  13214

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.1k4k

• ggoupy/SpikingConvNet

  Convolutional spiking neural network implementing STDP

  Language:Python131

• Pouya-SZ/DSC0NN

  Deep Spiking Convolutional Neural Network for Epilepsy Detection

  Language:Jupyter Notebook93

• dinies/SpikingCNN

  Build a spiking convolutional neural network in tensorflow for image recognitioon tasks

  Language:Python114

• minhna1112/RISC-V-SingleCycle

  Project Digital Design II

  Language:Verilog4

• spider-tronix/VLSI

  RISC V core implementation using Verilog.

  Language:Verilog234

• v00id852/LittleChip

  Little RISC-V 3-stage Pipeline CPU

  Language:Verilog165

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.3k3.8k

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  15.3k1.8k

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14k1.8k

• BRTResearch/AIChip_Paper_List

  564112

• norse/norse

  Deep learning with spiking neural networks (SNNs) in PyTorch.

  Language:Python64982

• NeuroRoboticTech/CARLsim

  CARLsim is an efficient C/C++-based Spiking Neural Network (SNN) simulator that allows execution on both generic x86 CPUs and standard off-the-shelf GPUs

  Language:C++71

• UCI-CARL/CARLsim5

  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

  Language:C++1612

• augmentedstartups/yolov3workflow

  This workflow aims to make it easy to train and execute Yolo v3 object detection on Windows.

  Language:Python116102

• darklife/darkriscv

  opensouce RISC-V cpu core implemented in Verilog from scratch in one night!

  Language:Verilog2.1k281

• BrunoLevy/learn-fpga

  Learning FPGA, yosys, nextpnr, and RISC-V

  Language:C++2.5k237

• qiujianben/Active-Noise-Control---DSP2017

  A project on Digital Signal Processing as a part of B.Tech Sem VI

  Language:Matlab2012

• chipsalliance/Cores-VeeR-EL2

  VeeR EL2 Core

  Language:SystemVerilog24373

• UA-RCL/RANC

  Language:VHDL3912

• Dengyu-Wu/spkeras

  Conversion from CNNs to SNNs using Tensorflow-Keras

  Language:Python348

• dannyneil/spiking_relu_conversion

  Language:Matlab6930

• nitin-rathi/hybrid-snn-conversion

  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

  Language:Python9424

• fangwei123456/spikingjelly

  SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

  Language:Python1.3k237

• matutani/nocgen

  NoC (Network-on-Chip) generator that generates Verilog HDL model of NoC consisting of on-chip routers

  Language:Perl5416

• bakhshalipour/NoC-Verilog

  A verilog implementation for Network-on-Chip

  Language:Verilog5921

• anan-cn/Open-Source-Network-on-Chip-Router-RTL

  Language:Verilog6332