Arvin-xd
I am a PhD student. School is Miroelectronics of Xidian University.
Xidian UniversityNo. 2 Taibai South Road, Xi'an City, Shaanxi Province
Pinned Repositories
Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
Conv-TasNet-1
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Conv-TasNet-2
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
EchoTorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
MLP_NeuroSim_V1.0
Benchmark framework of synaptic device technologies for a simple neural network
PythonModelling
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
Reservoir
Code for Reservoir computing (Echo state network)
Tutorial_Separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
XPEsim
A simulator for RRAM-based neural processor engine.
Arvin-xd's Repositories
Arvin-xd/Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
Arvin-xd/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Arvin-xd/EchoTorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Arvin-xd/MLP_NeuroSim_V1.0
Benchmark framework of synaptic device technologies for a simple neural network
Arvin-xd/PythonModelling
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
Arvin-xd/Reservoir
Code for Reservoir computing (Echo state network)
Arvin-xd/Tutorial_Separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
Arvin-xd/XPEsim
A simulator for RRAM-based neural processor engine.
Arvin-xd/Conv-TasNet-1
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Arvin-xd/Conv-TasNet-2
Arvin-xd/CSNet-Pytorch
Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"
Arvin-xd/date_trans_with_attention
a pytorch implementation of machine translation model that translates human readable dates ("25th of June, 2009") into machine readable dates ("2009-06-25")
Arvin-xd/Deep-Encoder-Decoder-Conv-TasNet
A PyTorch implementation of " AN EMPIRICAL STUDY OF CONV-TASNET "
Arvin-xd/DeepSpeechRecognition
A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型
Arvin-xd/ESN
Exploring new ideas in the field of Echo States Networks
Arvin-xd/MemTorch
A Simulation Framework for Memristive Deep Learning Systems
Arvin-xd/MLP_NeuroSim_V3.0
Benchmark framework of synaptic device technologies for a simple neural network
Arvin-xd/NCOMMS-20-02976
Arvin-xd/Pytorch-Camp
Arvin-xd/pytorch-in-action
Arvin-xd/pytorch-learning
Arvin-xd/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Arvin-xd/Reservoir-computing
Arvin-xd/rram_multilevel_driver
Architecture for RRAM multilevel programming
Arvin-xd/TBCAS-Towards-Healthcare-and-Biomedical-Applications
Supplementary Repository for Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
Arvin-xd/you-get
:arrow_double_down: Dumb downloader that scrapes the web