Name: Younes IDSOUGUOU
Type: User
Bio: I'm a Data Scientist working on predictive analytics and computer vision. I've been recently interested autonomous vehicle and deep learning (CNNs).
Location: Casablanca, Morocco
Blog: https://www.linkedin.com/in/younesidsouguou
Younes IDSOUGUOU's Projects
A port of the Airspace theme by ThemeFisher to Jekyll.
Framework and OpenAI Gym Environment for Autonomous Vehicle Development
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Repo for the Deep Reinforcement Learning Nanodegree program
Deep Learning platform for self Driving Cars. uses GTA V as simulator
ENet - A Neural Net Architecture for real time Semantic Segmentation
Example Docker Compose app
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Keras implementation of nvidia paper 'Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car'.
Camera LiDAR Calibration using ROS, OpenCV, and PCL
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
Udacity Machine Learning Nanodegree
A caffe implementation of MobileNet-YOLO detection network
A collection of pre-trained, state-of-the-art models in the ONNX format
NeMo: a toolkit for conversational AI
Scalable and user friendly neural :brain: forecasting algorithms.
Lightweight Python library for adding real-time object tracking to any detector.