Tung Thanh Le's repositories
SDC-term1-Behavioral-Cloning
Built and trained a convolutional neural network to drive the car itself autonomously in a simulator using Tensorflow (backend) and Keras. Experimented with a modified Nvidia architecture. Performed image processing with brightness, shadow augmentation, and flipped images. Used dropout and Adam optimizer to generalize the network for driving multiple tracks. The datasets are used via Udacity's source for training the model. Trained the model on Amazon AWS EC2 platform with GPU instances.
SDC-term1-Finding-Lane-Lines-on-Road
Computer Vision. Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
alexa-course-custom-skill
Files and Source Code related to Alexa Custom Skill Development - on Building a Rad Personal Assistant
amazon-ai-building-better-bots
Code samples related to Building Better Bots published on the AI Blog
AMPL-CPLEX-optimization-solver
Modeled a system with task scheduling problem as a max-sat problem and translated it into the integer linear programming (ILP) problem. Used the optimization solvers (CPLEX, Gurobi, Xpress) to solve the problem.
awesome-semantic-segmentation
awesome-semantic-segmentation
CSML_notes
UCL MSc Computational Statistics and Machine Learning Revision Notes
darknet
Convolutional Neural Networks
data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
deep-learning-1
Repo for the Deep Learning Nanodegree Foundations program.
end-to-end-for-chinese-plate-recognition
多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet
estool
Evolution Strategies Tool
Kalman-and-Bayesian-Filters-in-Python
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.
knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
opencv_contrib
Repository for OpenCV's extra modules
pytorch-capsule
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
SDC-term1-Vehicle-Detection-and-Tracking
Detected and tracked vehicles using color and histogram of oriented gradient features (HOG), and a support vector machine (SVM) classifier. Performed a HOG feature extraction on a labeled training set of images, and train a classifier Linear SVM classifier. Implemented a sliding-window technique and use the trained classifier to search for vehicles in images. Used heatmap and threshold technique to reject outliers and follow detected vehicles.
SDC-term2-Extended-Kalman-Filters
Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.
SDC-term2-PID-Control
Implemented a PID controller in C++ to maneuver the vehicle around the track.
SDC-term2-Unscented-Kalman-Filters
Used C++ to code an Unscented Kalman Filter capable of tracking non-linear motion.