igriss Goto Github PK

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

artistic-style

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

custsegs

Tools for customer segmentation

datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

datasciencecoursera

Coursera - ToolBox

datasharing

The Leek group guide to data sharing

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-learning-for-biology-hse-2018-course

Deep Learning for Biology course materials / Higher School of Economics, 2018

dou-topic-modeling

Analyzing the topic structure of DOU.ua comments using Latent Dirichlet Allocation (LDA).

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fast-neural-style

Feedforward style transfer

frontend-nanodegree-resume

ftrl

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm

genadv_tutorial

TensorFlow tutorial on Generative Adversarial Models

gganimate

Create easy animations with ggplot2

gncdata

Coursera:Get'n'CleanTheData

lectures

Oxford Deep NLP 2017 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.

magenta

Magenta: Music and Art Generation with Machine Intelligence

mlcourse_open

OpenDataScience Machine Learning course (yet Russian-only)

neon_course

neon tutorials

ntm-one-shot-tf

One Shot Learning using Memory-Augmented Neural Networks based on Neural Turing Machine architecture in Tensorflow

numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

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

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 ;)

r

r-posts

Some R scripts and some R ideas

radiant

Business analytics using R and Shiny. The radiant app combines the menus from radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.

recsys-2017-online-learning-tutorial