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complete-javascript-course

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

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_science_blog_post

As part of the first project for the Nanodegree Course in Data Science at Udacity I will analyze the Airbnb datasets for Seattle and Boston

devops-interview-questions

Linux, Jenkins, AWS, Network, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure

dockergpds

fight-churn

Code from the book Fighting Churn With Data

flashtorch

Visualisation toolkit for neural networks in PyTorch - towards explainable and interpretable AI!

github_actions

This repository will save the challanges for the github actions workshop

h.264_pdi

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

jmat

A simple package to work with matrix operations

libvpx

Mirror only. Please do not send pull requests.

metacademy-application

Metacademy.org's application code

models

Models and examples built with TensorFlow

nes.css

NES-style CSS Framework | ファミコン風CSSフレームワーク

neural-image-assessment

Implementation of NIMA: Neural Image Assessment in Keras

python-cheatsheet

Comprehensive Python Cheatsheet

pytorch-lr-finder

A learning rate range test implementation in PyTorch

saas-web-app

stackoverflow

Findings from Stackoverflow 2017

transfer-learning-in-keras---custom-data

Implementing Transfer Learning for custom data using VGG-16 and Resnet-50