ram-iyer Goto Github PK

2018-fall-main

W266 Student Repository for Fall 2018

207_applied_ml

Homework and Supporting Docs for MIDS 207

30-seconds-of-python

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

airflow-on-ecs

amazon-web-services-linux-operations

Pairs

apache-airflow

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

aws-batch-101

AWS Batch 101

bigdata-2018f

CS 451/651 Data-Intensive Distribute Computing (Fall 2018) at the University of Waterloo

c-plus-plus

All Algorithms implemented in C++

caffe

Caffe: a fast open framework for deep learning.

catalyst

Reproducible and fast DL & RL.

complete-javascript-course

Starter files, final projects and FAQ for my Complete JavaScript course

cookbook

The Data Engineering Cookbook

course-overview

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cppcon2019

Slides and other materials from CppCon 2019

cppprimer

:books: Solutions for C++ Primer 5th exercises.

d3-book

Code examples for “Interactive Data Visualization for the Web”

darknet

Convolutional Neural Networks

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deepframework

A python framework for Deep Learning projects

docker-pytorch

A Docker image for PyTorch

docker-spark

:ship: Docker image for Apache Spark

docker-spark-cluster

A simple spark standalone cluster for your testing environment purposses

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

dsw2018-tutorials

Tutorials for GDSO at Berkeley Data Science Workshop

effectivetensorflow

TensorFlow tutorials and best practices.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

flask-machine-learning-resful

Build a flask app to server a machine learning model as a RESTful web service