kevinwkc Goto Github PK

torch7

http://torch.ch

tourr

A implementation of tour algorithms in R

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

tuthpc

Tutorial on "Efficient Python for High-Performance Computing"

tutorial-sparkpi-scala-scalatra

SparkPI Implemented on the Scalatra framework.

tutorial_theano

Common Code Workflow tutorial on Theano

tutorials

Hortonworks tutorials

tutorials-1

Continuum's public tutorial repository

typedbytes

A Python module for dealing with so called "typed bytes".

ud120-projects

Starter project code for students taking Udacity ud120

udacity-ai-for-robotics

My solutions to some quizzes, exercises, and projects in the Udacity Artificial Intelligence for Robotics course

udacity-ai-nanodegree

My projects/labs for Udacity Artificial Intelligence Nanodegree (April 2017 - present).

umd-courses

Course homepages for courses that I've taught at the University of Maryland

understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras

What makes convnets so powerful at image classification?

useful-sql-server-queries

This is a collection of queries that I use when dealing with SQL Server, whether I'm looking to improve performance, diagnose IO issues or setup the server.

user2016

Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"

user2016-tutorial

v71

Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance

vaex

Lazy Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

vagrant-jupyter

Jupyter Notebook with Python3, Scala and PySpark

vegan

R package for community ecologists: popular ordination methods, ecological null models & diversity analysis

vegas

The missing MatPlotLib for Scala + Spark

vowpal_porpoise

lightweight python wrapper for vowpal wabbit

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

word-level-rnn-keras

Word Level RNN for text generation using keras

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

wordvectors

An R package for creating and exploring word2vec and other word embedding models

wordvectors-1

Pre-trained word vectors of 30+ languages

xarray_tutorials

Here is where I store useful tutorials for xarrays

xgbfi

XGBoost Feature Interactions & Importance