lz714's repositories
CarND-Advanced-Lane-Finding-Project
Solution to Udacity Self-driving Car Nonedegree Project 4: Advanced Lane Finding
CarND-Behavior-Cloning-Project
Solution to Udacity Self-driving Car Nonedegree Project 3: Behavior Cloning
CarND-Extended-Kalman-Filter-Project
Solution to Udacity Self-driving Car Nonedegree Project 2-1: Extended Kalman Filter Project
CarND-Finding-Lane-Lines-Project
Solution to Udacity Self-driving Car Nonedegree Project 1: Lane lines detection
CarND-MPC-Project
Solution to Udacity Self-driving Car Nonedegree Project 2-5: Model Predictive Control (MPC) Project
CarND-Path-Planning-Project
Create a path planner that is able to navigate a car safely around a virtual highway
CarND-PID-Controller-Project
Solution to Udacity Self-driving Car Nonedegree Project 2-4: PID Controller Project
CarND-Traffic-Sign-Classifier-Project
Solution to Udacity Self-driving Car Nonedegree Project 2: Traffic Sign Classifier
CarND-Unscented-Kalman-Filter-Project
Solution to Udacity Self-driving Car Nonedegree Project 2-2: Unscented Kalman Filter
CarND-Vehicle-Detection-and-Tracking-Project
Solution to Udacity Self-driving Car Nonedegree Project 5: Vehicle Detection and Tracking
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
hyde
A brazen two-column theme for Jekyll.
Meetup-Fall-2013
Slides, code, and other information relating to the Fall 2013 Meetups
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
ml_cheat_sheet
My notes and superstitions about common machine learning algorithms
MLatImperial2016
Materials for the course of machine learning at Imperial College organized by YSDA
pytorch-cheatsheet
Check out improved:
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
statistical-analysis-python-tutorial
Statistical Data Analysis in Python
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)