aman-verma-2307 Goto Github PK

adaptive

Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

awesome-radiology-report-generation

A curated list of radiology report generation (medical report generation) and related areas. :-)

codeutsava

ct-net

[ICLR2021] official implementation of CT-Net

deep-soli

Gesture Recognition Using Neural Networks with Google's Project Soli Sensor

deep-traffic

direction-prediction-of-epidemic

This algorithm can be used to predict direction from where an epidemic is spreading

ecg-healthcare-biometrics

eeg-datasets

A list of all public EEG-datasets

essentials

Essentials and other Documents

fcanet

FcaNet: Frequency Channel Attention Networks

fecg_detection_mlpnn

FECG detection using abdominal ECG signals

fecgsyn

FECGSYN toolbox for ECG and fetal ECG simulation

feerci

FEERCI: A Package for Fast non-parametric confidence intervals for Equal Error Rates

froc-free-response-receiver-operating-characteristic-curve

This python script computes and plots a FROC curve - Free-response Receiver Operating Characteristic - from numpy arrays.

image-captioning-with-adaptive-attention

PyTorch implementation of image captioning with adaptive attention mechanism.

keras-surgeon

Pruning and other network surgery for trained Keras models.

keras_metrics

Some Metric Implementation in Keras (Such as Pearsons Correlation Coefficient, Mean Relative Error)

keyboard

Hook and simulate global keyboard events on Windows and Linux.

kornia

Open Source Differentiable Computer Vision Library

logitraffic-

Deep Learning || IOT || Web Development

lstm-for-time-series-over-fibonnaci-series-and-sin-x-

LSTM for Time Series over Fibonnaci Series and Sin(X)

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

medical-report-generation

A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

mnist-using-k-means

It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm.

on-the-automatic-generation-of-medical-imaging-reports

Implementation of the Paper "On the Automatic Generation of Medical Imaging Reports"

pyeer

PyEER is a python package for biometric systems performance evaluation. Includes ROC, DET, FNMR, FMR and CMC curves plotting, scores distribution plotting, EER and operating points estimation. It can be also used to evaluate binary classification systems.

pytorch_toolbox

pytorchに便利なツールのリポジトリです

r2gencmn

[ACL-2021] The official implementation of Cross-modal Memory Networks for Radiology Report Generation.