Pinned Repositories
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
AE_ts
Auto encoder for time series
AGPPVAE
Adversarial Gaussian Process Prior Variational Autoencoder
Automatic-Parking
Automatic parking with Reinforcement Learning (Q learning with epsilon greedy algorithm) in simulation. A parking environment is created in both Matplotlib and Gazebo.
GCGRNN
Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF)
machine-learning-notes-1
机器学习笔记
medium_posts
traffic_uncertainty
VTP
Vehicle Trajectory Prediction with Deep Learning Models
leilin-research's Repositories
leilin-research/aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
leilin-research/Bike-Sharing-Demand---Kaggle
Solution to the Kaggle knowledge problem - Bike Sharing Demand
leilin-research/bike_demand_prediction
leilin-research/CarND-LaneLines-P1-1
Lane Finding Project for Self-Driving Car ND
leilin-research/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, https://arxiv.org/abs/1606.09375
leilin-research/CNTK
Computational Network Toolkit (CNTK)
leilin-research/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
leilin-research/filterpy
Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
leilin-research/google-maps-services-python
Python client library for Google Maps API Web Services
leilin-research/jDBSCAN
Javascript DBSCAN – Spatial and temporal (GPS location) data ready!
leilin-research/Kalman
Some Python Implementations of the Kalman Filter
leilin-research/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.
leilin-research/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
leilin-research/Lasagne
Lightweight library to build and train neural networks in Theano
leilin-research/movsim
MovSim: multi-model open-source vehicular-traffic simulator
leilin-research/NGSIM.jl
A Julia package for handling the Next Generation Simulation (NGSIM) traffic dataset
leilin-research/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
leilin-research/python-guide
Python best practices guidebook, written for Humans.
leilin-research/Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
leilin-research/realtime-multiplayer-in-html5
Read the full article: http://buildnewgames.com/real-time-multiplayer/ An example using node.js, socket.io and HTML5 Canvas to explain and demonstrate realtime multiplayer games in the browser.
leilin-research/research
dataset and code for 2016 paper "Learning a Driving Simulator"
leilin-research/StarterLearningPython
Learning Python: from Beginner to Master. http://www.itdiffer.com
leilin-research/Supply-demand-forecasting
supply demmand gap prediction for ride-hailing
leilin-research/tensorflow
Computation using data flow graphs for scalable machine learning
leilin-research/TensorFlowDeepAutoencoder
MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
leilin-research/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
leilin-research/Toronto_Buffalo_Border_Waiting_App
leilin-research/tutorials
机器学习相关教程
leilin-research/Up-Stat2016_V2I_v1
Up-Stat 2016 Data Competition to smooth Michigan V2I data
leilin-research/UrbanMobility