Learning Heuristics for the TSP by Policy Gradient

This Repository contains all tensorflow tutorials.

Presentations for JuliaCon

使用mxnet编写的kaggle CIFAR10比赛的代码

Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

Tensorflow for Time Series Applications

Code and notebooks for Econometric Theory

Predictive Analytics with TensorFlow, published by Packt

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An implementation of NSGA-III in Python.

Converts a Shapefile, GeoJSON, or CSV to an equal area cartogram

Demonstration of MapR for Industrial IoT

Курс по Python по работе с VK API

Source Code for 'Machine Learning with PySpark' by Pramod Singh

Python Tutorials

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois