phuongxuanpham
Ph.D. in Communication and Information Systems with 7+ years experience in R&D.
Arlington, TX
Pinned Repositories
A1
Applied-Machine-Learning-in-Python
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
awesome-deep-learning-papers
The most cited deep learning papers
bayesian-methods-for-ml
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
Beam-Propagation-Method
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
MachineLearningND
SelfDrivingCar
phuongxuanpham's Repositories
phuongxuanpham/A1
phuongxuanpham/Applied-Machine-Learning-in-Python
phuongxuanpham/awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
phuongxuanpham/awesome-deep-learning-papers
The most cited deep learning papers
phuongxuanpham/bayesian-methods-for-ml
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
phuongxuanpham/Beam-Propagation-Method
phuongxuanpham/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
phuongxuanpham/MachineLearningND
phuongxuanpham/SelfDrivingCar
phuongxuanpham/course20
Deep Learning for Coders, 2020, the website
phuongxuanpham/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
phuongxuanpham/Eagle-Libraries
Eagle PCB Parts Libraries
phuongxuanpham/EEG-Datasets
A list of all public EEG-datasets
phuongxuanpham/Find-Lane-Lines
phuongxuanpham/hadron-collider-machine-learning
Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
phuongxuanpham/intro-to-dl
Resources for "Introduction to Deep Learning" course.
phuongxuanpham/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
phuongxuanpham/NAF-tensorflow
"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
phuongxuanpham/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
phuongxuanpham/nirs-toolbox
phuongxuanpham/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
phuongxuanpham/ORB_SLAM2-1
phuongxuanpham/pl-slam
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
phuongxuanpham/Practical_RL
A course in reinforcement learning in the wild
phuongxuanpham/Recent_SLAM_Research
跟踪SLAM前沿动态【周更】
phuongxuanpham/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
phuongxuanpham/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
phuongxuanpham/ros_best_practices
Best practices, conventions, and tricks for ROS
phuongxuanpham/slam-papers
Papers
phuongxuanpham/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow