Habiba Amroune's starred repositories
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
dlbook_notation
LaTeX files for the Deep Learning book notation
Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
Social-STGCNN
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
conv-social-pooling
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
trajnetplusplusbaselines
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
TrackNPred
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
MNIST-Digit.Recognizer-CNNs
Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%
Scene-LSTM
Data and Code for "Scene-LSTM: A model for human trajectory prediction" (ISVC 2019)
Visual-of-Social-GAN
Show Visualization Result of Social GAN
Pedestrian-Intention-Classification
Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection
DataExtraction
UCY and ETH dataset
NN-Backpropagation
Implement a Neural Network trained with back propagation in Python
JAAD_dataset
Annotation data for JAAD (Joint Attention in Autonomous Driving) dataset
SafeCritic
FLORA: Future prediction of obstacle locations in traffic scenes for collision avoidance
JAAD_pedestrian
Annotation data for JAAD (Joint Attention in Autonomous Driving) dataset
Face-Recognition-using-LBPH-algorithm-on-ORL-Dataset
This face recognition system can be used for criminal detection and many other cases. Anyone can use the Haar cascade or LBPH cascade classifier for face detection. In this project, we use the LBPH algorithm for face recognition. For the test purpose, we use ORL Dataset. Any dataset can be used for testing purposes.