Bilel Khlaifia's Projects
A toolkit for developing and comparing reinforcement learning algorithms.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Panoptic Agricultural Satellite TIme Series (optical and radar)
Pixhawk Standards
Run ORBSLAM2 on the Jetson Nano, using recorded rosbags (e.g., EUROC) or live footage from a Bebop2 Drone
Poverty Prediction by Combination of Satellite Imagery
Understand why employees leave a company and apply various machine learning models to predict the next leaver!
AI-powered Human-Drone Pose Estimation Aboard Ultra-low Power Autonomous Flying Nano-UAVs.
Python Microservices Development, published by Packt
Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Extension Library of Optimized Scatter Operations
PyTorch ,ONNX and TensorRT implementation of YOLOv4
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
WholeGraph is developed to help train large-scale Graph Neural Networks(GNN).
Raspberry Pi With 4 Relay Module controlled by a Simple PHP web app
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
A simple (99% ES2015 less) tutorial for React
Real Time Object Detection using OpenCV and Deep Learning
Perception and AI components for autonomous mobile robotics.
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
Reinforcement Learning (RL) UAV Engine
This Gazebo world is well suited for organizations who are building and testing robot applications for warehouse and logistics use cases.
ROS node for real-time FCNN depth reconstruction
Satellite Image Classification using semantic segmentation methods in deep learning
Resources for deep learning with satellite & aerial imagery
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Serving TensorFlow models with TensorFlow Serving :orange_book: