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Building Sentinel-2 super-resolution and remote-sensing foundation models
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Building Sentinel-2 super-resolution and remote-sensing foundation models

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khlaifiabilel/README.md

Bilel Khlaifia

Geospatial AI engineer building machine learning systems for Earth observation, environmental intelligence, and autonomous systems.

Founder of NeuralQ. Based in Cape Town, originally from Tunisia. I work primarily with Python, PyTorch, remote sensing, computer vision, and cloud-native ML infrastructure.

Portfolio | ORCID | LinkedIn

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  1. autonomous-uav-visual-navigation autonomous-uav-visual-navigation Public

    Jetson-accelerated visual navigation for autonomous drones and ground vehicles using TrailNet, stereo depth estimation, ROS, and PX4 control.

    C++ 24 7

  2. real-time-object-detector real-time-object-detector Public

    Real-time webcam object detection with OpenCV DNN and a pretrained MobileNet SSD model in Caffe format.

    Python 10 10

  3. deep-reinforcement-learning-in-robotics deep-reinforcement-learning-in-robotics Public

    Forked from dusty-nv/jetson-reinforcement

    Fork of dusty-nv/jetson-reinforcement. Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

    C++ 10 2

  4. reinforcement-learning-of-quadrotor-control reinforcement-learning-of-quadrotor-control Public

    Forked from learnsyslab/gym-pybullet-drones

    Fork of learnsyslab/gym-pybullet-drones. PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

    Python 5