Benshan-WANG

Benshan-WANG's Stars

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k103821.9k

• flaport/fdtd

  A 3D electromagnetic FDTD simulator written in Python with optional GPU support

  Language:Python5252565123

• JeanKossaifi/tensorly-notebooks

  Tensor methods in Python with TensorLy

  Language:Jupyter Notebook4291513126

• fzenke/spytorch

  Tutorial for surrogate gradient learning in spiking neural networks

  Language:Jupyter Notebook295171179

• stanfordnqp/spins-b

  Photonic optimization library

  Language:Python2903068113

• jaron/deep-listening

  Deep Learning experiments for audio classification

  Language:Jupyter Notebook1499441

• markstrefford/Spiking-Neural-Network

  Basic SNN propogating spikes between LIF neurons

  Language:Jupyter Notebook826134

• alen-smajic/Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

  My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

  Language:Jupyter Notebook694226

• hongwenjun/stc89c52

  CodeBlocks + Keil_C51编译器 C51单片机学习; CodeBlocks + SDCC开源编译器 C51单片机编译。普中51单片机开发版 stc89c52芯片实验板DIY套件 HC6800-ES V2.0光盘资料

  Language:C684118

• mohammadbashiri/tensor-decomposition-in-python

  A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python

  Language:Jupyter Notebook615121

• WUST-FOG/gnlse-python

  Generalized Nonlinear Schrodringer Equation solver

  Language:Python524623

• Christophe-pere/Time_series_RNN

  This repository contains the code to generate timeseries prediction with the RNN family

  Language:Jupyter Notebook434019

• esa/NIDN

  Neural Inverse Design of Nanostructures

  Language:Jupyter Notebook394506

• zmyzheng/Neural-Networks-and-Deep-Learning

  Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

  Language:Jupyter Notebook393113

• wenh81/optiCommLabProc

  Optical Fiber Communication lab/experiments processing scripts

  Language:MATLAB301012

• flori-stelzer/deep-learning-delay-system

  Language:C++22038

• aewallin/TIASim

  TIASim - Transimpedance Amplifier Simulation

  Language:Python21425

• cedric-scheerlinck/jupnote_event_demo

  Jupyter notebook version of "Continuous-time Intensity Estimation Using Event Cameras"

  Language:Jupyter Notebook18234

• Hsuan-Tung/PCICN_RFFingerprinting

  Language:Python14303

• waxz/Autonomous-Driving-SLAM

  Language:Jupyter Notebook12307

• jabbate7/PhotonicNeuronSimulator

  Delayed differential equation solver, along with visualization tools, for spiking neuron network dynamics.

  Language:Jupyter Notebook9002

• dajinstory/daily-arxiv-noti

  621413

• jiaolitju/QOAT-Net

  Language:Python6101

• alexhrubin/Frequency-Comb

  Simulation of a ring-resonator based frequency comb.

  Language:MATLAB5105

• mmadondo/chaos-lstm-rnns

  Independent study and research on modeling chaotic systems using Long Short Term Memory recurrent neural networks.

  Language:Jupyter Notebook5201

• polzinben/TensorFlow_NLP

  Natural Language Processing (NLP) and Optical Character Recognition (OCR) with TensorFlow, BERT, and pytesseract.

  Language:Jupyter Notebook4100

• xfleezy/bindsnet

  Simulation of spiking neural networks (SNNs) using PyTorch.

  Language:Python2000

• arjunpanicker/Custom-Activation-Function-Training

  Language:Jupyter Notebook1200

• Parth199/Traffic-Sign-Recognition

  You may have heard about self-driving vehicles in which the passenger can rely solely on the vehicle to drive by itself. But to reach autonomous level 5, all traffic laws need to be recognized and observed by cars. There are several different types of traffic signs like speed limits, no entry, traffic signals, turn left or right, children crossing, no passing of heavy vehicles, etc. Traffic signs classification is the process of identifying which class a traffic sign belongs to.

  Language:Jupyter Notebook1201

• Photonics-Pitt-Org/AnalogVNN

  Language:Python1000