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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

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.

creatorsdk

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.

flask_advanced

fledge

An open source platform for the Industrial Internet of Things, it acts as an edge gateway between sensor devices and cloud storage systems.

fledge-gui

A web based graphical interface for Fledge

idatav

大屏数据可视化 Big screen data visualization demo

keras

Deep Learning for humans

kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

lstm_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

models

Models and examples built with TensorFlow

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.

openpose-plus

High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT

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.

snn-brian-mlp

Spiking MLP built using BRIAN

snn-image-segmentation

This is project for image segmentation based on Spiking Neural Network

snn_object_recognition

One-Shot Object Appearance Learning using Spiking Neural Networks

snn_object_recognition-1

Spiking CNN for object recognition

snns-in-tensorflow

Implementation of a Spiking Neural Network in Tensorflow.

soh_estimation_of_lithium-ion_battery

State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

spiking-c3d

Convolutional 3D Spiking Neural Network to classify videos

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

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.

stdp-mnist-brian2

Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"

stdp_mnist