Pinned Repositories
ATR-FNN
Automatic Target Recognition using Fuzzy Neural Networks
barcode_detection_benchmark
Code for paper "New Benchmarks for Barcode Detection using both Synthetic and Real Data" https://link.springer.com/chapter/10.1007%2F978-3-030-57058-3_34
Brian2_autonomous_bug
Multilayer-SNN-for-audio-samples-classification-using-SpiNNaker
This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", which is already accepted for publication.
SNNs-In-Tensorflow
Implementation of a Spiking Neural Network in Tensorflow.
Spiking-Convnet
A Spiking Convolutional Neural Network implemented using brian2 package.
Spiking-Neural-Network
Pure python implementation of SNN
Spiking-neural-network-1
A deep SNN model that simulates the ventral pathway of human brain
stdp-mnist-brian2
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
tensorflow
Computation using data flow graphs for scalable machine learning
tianjihua254's Repositories
tianjihua254/stdp-mnist-brian2
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
tianjihua254/Multilayer-SNN-for-audio-samples-classification-using-SpiNNaker
This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", which is already accepted for publication.
tianjihua254/SNNs-In-Tensorflow
Implementation of a Spiking Neural Network in Tensorflow.
tianjihua254/Spiking-Convnet
A Spiking Convolutional Neural Network implemented using brian2 package.
tianjihua254/Spiking-Neural-Network
Pure python implementation of SNN
tianjihua254/Spiking-neural-network-1
A deep SNN model that simulates the ventral pathway of human brain
tianjihua254/tensorflow
Computation using data flow graphs for scalable machine learning
tianjihua254/ATR-FNN
Automatic Target Recognition using Fuzzy Neural Networks
tianjihua254/barcode_detection_benchmark
Code for paper "New Benchmarks for Barcode Detection using both Synthetic and Real Data" https://link.springer.com/chapter/10.1007%2F978-3-030-57058-3_34
tianjihua254/Brian2_autonomous_bug
tianjihua254/CARLsim3
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.
tianjihua254/CreatorSDK
tianjihua254/DataInsight
Dedicated area for the development of data insight in the area of predictive analytics from churn prediction, fraud detection, and general machine learning and artificial intelligence.
tianjihua254/flask_advanced
tianjihua254/fledge
An open source platform for the Industrial Internet of Things, it acts as an edge gateway between sensor devices and cloud storage systems.
tianjihua254/fledge-gui
A web based graphical interface for Fledge
tianjihua254/iDataV
大屏数据可视化 Big screen data visualization demo
tianjihua254/keras
Deep Learning for humans
tianjihua254/kubeedge
Kubernetes Native Edge Computing Framework (project under CNCF)
tianjihua254/LSTM_encoder_decoder
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
tianjihua254/models
Models and examples built with TensorFlow
tianjihua254/openpose-plus
High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT
tianjihua254/qrcode_recognition
基于opencv4.0 pyzbar和python实现二维码实时检测+定位，利用摄像头完成了实时对二维码的识别和检测、定位，获取二维码的中心点与外接最小矩形。Based on opencv4.0 pyzbar and python, real-time detection + positioning of the two-dimensional code is realized, and the real-time identification, detection, and positioning of the two-dimensional code are completed by using the camera, and the center point of the two-dimensional code and the smallest external rectangle are obtained.
tianjihua254/snn-brian-mlp
Spiking MLP built using BRIAN
tianjihua254/snn_object_recognition
One-Shot Object Appearance Learning using Spiking Neural Networks
tianjihua254/snn_object_recognition-1
Spiking CNN for object recognition
tianjihua254/SoH_estimation_of_Lithium-ion_battery
State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM
tianjihua254/Spiking-C3D
Convolutional 3D Spiking Neural Network to classify videos
tianjihua254/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
tianjihua254/Sudoku-solver
Solving arbitrary size Sudoku puzzles by Spiking Neural Network