Mark Guzman's starred repositories
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.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
blessed-contrib
Build terminal dashboards using ascii/ansi art and javascript
og-equity-compensation
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
ceres-solver
A large scale non-linear optimization library
image-spec
OCI Image Format
SSH-keys-in-macOS-Sierra-keychain
Saving SSH keys in macOS Sierra keychain
UnicornTranscoder
Remote transcoder for Plex
service-principles
A guide to service principles at Yelp for our service oriented architecture
viennacl-dev
Developer repository for ViennaCL. Visit http://viennacl.sourceforge.net/ for the latest releases.
HerbiePlugin
GHC plugin that improves Haskell code's numerical stability