Anjan Nepal's starred repositories
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
distsys-class
Class materials for a distributed systems lecture series
explainshell
match command-line arguments to their help text
ohmyzsh
🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
recordlinkage
A powerful and modular toolkit for record linkage and duplicate detection in Python
spark-solr
Tools for reading data from Solr as a Spark RDD and indexing objects from Spark into Solr using SolrJ.
stat-cookbook
:orange_book: The probability and statistics cookbook
tryenlight.github.io
:computer: Learn to code by building projects (old site!)
variational-autoencoder
generate MNIST using a Variational Autoencoder
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
caffe-speech-recognition
Speech Recognition with the Caffe deep learning framework, migrating to
chaosmonkey
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
autoencoders
Implementation of several different types of autoencoders
deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
tensorflow
An Open Source Machine Learning Framework for Everyone