amri95 Goto Github PK

nas-dip-pytorch

[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

nas-papers-comparison

NAS Papers Comparison

nengoproject

Spiking Neural Network Model using Nengo

neucube_spinnaker

This repository contains an implementation of the SNN algorithm NeuCube for EEG brain data classification.

neural-network-tutorials

Code for my tutorials on Artificial Neural Networks

neuralnetwork

Spiking Neural Network to identify spoken letters

neural_ffn_ecg_tensorflow

ECG heartbeat classification using convolutional neural networks (CNN) in TensorFlow

nmnist-stdp-spinnaker

A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.

object-detection-with-deep-learning-and-sliding-window

Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the image in gray scale and converts the image into a numpy array. The labels are also appended based on the file name. In this case, if the file name starts with "trn", then 1 is appended else 0. Finally, all the images and labels are saved into .npy file. The test-model-1.py file loads the images and converts the labels into two categories as we are doing binary classification of images. The model is built using keras with theano as backend. In this case, the best training accuracy was 80% since the data was just 500 images and the testing accuracy was 67%

ocr_recognition

Train Transformer/Sequential text recognition models in PyTorch

pan-tompkins_python

A simple Python implementation of Pan-Tompkins algorithm for QRS complex detection

pantompkinsqrs

A portable, ANSI-C implementation of Pan-Tompkins real-time QRS detection algorithm

person-identification-system-based-on-ecg-signals

physionetecg

Atrial Fibrillation Classification from a short single lead ECG recording: PhysioNet/Computing in Cardiology Challenge

pinto_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

power-of-snns

prediction-of-cardiac-arrhythmia

Machine Learning project to predict heart diseases

projects

Projects I have completed so far

pynn8examples

Examples for PyNN 0.8

pynq-classification

Python on Zynq FPGA for Convolutional Neural Networks

pynq-hls

A Tutorial on Putting High-Level Synthesis cores in PYNQ

pynq-project

PYNQ, Neural network Language model, Overlay

pynq-z2_randomnumbergenerator

python-projects

python projects

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pytorch_tutorials

qrs-detection-and-heartrate-calculation

Python implementation of a part of Pan-Tompkins Algorithm

qrs-object

Code for:

qrs-pan-tompkins

An implementation of the paper "A real time QRS Detection Algorithm" by Pan and Tompkins

real-time_object_detection_efficientdet

Real-time object detection using COCO-pretrained EfficientDet under Pytorch and TensorFlow