Phuong Pham's repositories
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
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Eagle-Libraries
Eagle PCB Parts Libraries
EEG-Datasets
A list of all public EEG-datasets
hadron-collider-machine-learning
Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
intro-to-dl
Resources for "Introduction to Deep Learning" course.
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.
NAF-tensorflow
"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Practical_RL
A course in reinforcement learning in the wild
Recent_SLAM_Research
跟踪SLAM前沿动态【周更】
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
ros_best_practices
Best practices, conventions, and tricks for ROS
slam-papers
Papers
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