Habiba Amroune (Habiba-Amroune)

Habiba-Amroune

Geek Repo

Github PK Tool:Github PK Tool

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

apollo

An open autonomous driving platform

Language:C++License:Apache-2.0Stargazers:24843Issues:1109Issues:4409

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

Language:Jupyter NotebookStargazers:3470Issues:309Issues:25

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

Language:TeXLicense:MITStargazers:1417Issues:61Issues:0

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Language:PythonLicense:MITStargazers:811Issues:18Issues:112

Social-STGCNN

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Language:PythonLicense:MITStargazers:478Issues:13Issues:68

OpenTraj

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Language:PythonLicense:MITStargazers:459Issues:16Issues:28

STAR

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

Language:PythonLicense:MITStargazers:340Issues:10Issues:26

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

Language:PythonLicense:MITStargazers:326Issues:11Issues:38

trajnetplusplusbaselines

[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Language:PythonLicense:MITStargazers:242Issues:14Issues:26

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%

Language:Jupyter NotebookLicense:MITStargazers:122Issues:5Issues:0

PIE

Annotations for Pedestrian Intention Estimation (PIE) dataset

Language:PythonLicense:MITStargazers:115Issues:4Issues:32

SS-LSTM

SS-LSTM model for pedestrian trajectory prediction

Scene-LSTM

Data and Code for "Scene-LSTM: A model for human trajectory prediction" (ISVC 2019)

Language:PythonStargazers:68Issues:7Issues:0

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

Language:PythonLicense:GPL-3.0Stargazers:16Issues:1Issues:2
Language:PythonStargazers:7Issues:0Issues:0

JAAD_dataset

Annotation data for JAAD (Joint Attention in Autonomous Driving) dataset

Language:ShellLicense:MITStargazers:4Issues:3Issues:0

SafeCritic

FLORA: Future prediction of obstacle locations in traffic scenes for collision avoidance

Language:Jupyter NotebookStargazers:3Issues:4Issues:0
Language:PythonLicense:MITStargazers:2Issues:2Issues:0

JAAD_pedestrian

Annotation data for JAAD (Joint Attention in Autonomous Driving) dataset

Language:ShellLicense:MITStargazers:2Issues:2Issues:0

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.

Language:PythonLicense:MITStargazers:2Issues:2Issues:0