bsaghafi Goto Github PK

3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3dcnn-dmri

Keras implementation of a 3DCNN that predicts level of head impact exposure from changes in diffusion MRI

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dspnet

An Implementation of the Driving Scene Perception Network (DSPNet)

elastic-net-regression

erdos

Elastic Robot Dataflow Operating System

fcnn-brain-perfusion-diabetes

Keras Implementation of a fully-connected neural network that estimates level of regional brain perfusion from diabetes measures.

gcnmf

PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

icnet-tensorflow

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

keras-kinetics-i3d

keras implementation of inflated 3d from Quo Vardis paper + weights

keras-retinanet

Keras implementation of RetinaNet object detection.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

monodepth

Unsupervised single image depth prediction with CNNs

plotneuralnet

Latex code for making neural networks diagrams

predict_device_lifetime_balance

privategpt

Interact with your documents using the power of GPT, 100% privately, no data leaks

python-for-algorithms--data-structures--and-interviews

Files for Udemy Course on Algorithms and Data Structures

robustness_metrics

time-series-anomaly

Anomaly detection on time series using Deep Learning techniques