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neuradp-for-ride-pooling

A simulator and learning agent to solve the ridesharing problem

neural-gc

Granger causality discovery for neural networks.

nht-us30-impact-analysis

Smart Multi-modal Transportation Solutions for North Huntingdon Township in Response to Roadway Construction Projects on Route-30

nmflib

nonnegative matrix factorization and some variants in numpy

nmflogreg

Coupled Nonnegative Matrix Factorization and Logistic Regression

nn-trajectory-prediction

nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

nonnegative-matrix-factorization-time-series

Nonnegative Matrix Factorisation for Time Series Forecasting and Clustering

nyc-transport

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

nyctaxi

Experiments on the unification of NYC hotel and taxicab data.

nycyellowtaxi

Regression Analysis on the Impact of COVID-19 on Taxi Industry in NYC

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

osm2gmns

pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

pca-clustering-k-means-hierarchical-poverty-analysis

Analysis of global poverty using PCA to identify important parameters and then clustering via both K-means and Hierarchical clustering techniques.

pimaindiadiabetes

K-nearest neighbour model for diabetes classification task.

planet_sakaar_data_science

A colourful collection of codes and notebooks, like Planet Sakaar

prais

Prais-Winsten estimator for AR(1) serial correlation

predictions-for-cab-booking-application

Objective of this project was to combine historical usage pattern along with the open data sources like weather data to forecast cab booking demand in a city.

probabilistic-programming-and-bayesian-methods-for-hackers-1

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

project_bike_demand_prediction

This simple Flask API can predict the number of total rentals in the Capital Bikeshare. The app combines historical usage patterns with weather data in order to forecast bike rental demand in the Capital Bikeshare program in Washington, D.C.

pygeo-tutorial

Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )

pyro-torch-normalizing-flows

Implementations of Normalizing Flows in Pytorch/Pyro

python

All Algorithms implemented in Python

python-commoncode

python-script-to-combine-different-files-in-a-folder

python scripts to combine different files in a folder and also zipping the folder

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

recursive-logit

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.