Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Implementation of a series of Neural Network architectures in TensorFow 2.0

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Serve, optimize and scale PyTorch models in production

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Deep universal probabilistic programming with Python and PyTorch

Example of PyTorch DistributedDataParallel

An unofficial styleguide and best practices summary for PyTorch

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Collection of helpful tips and tricks for VS Code.

Model summary in PyTorch similar to `model.summary()` in Keras

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

List of Data Science Cheatsheets to rule the world

HiPlot makes understanding high dimensional data easy

An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A curated list of awesome anomaly detection resources

A lookup repo for a variety of distributions (implemented in Python)

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

A model-agnostic visual debugging tool for machine learning

Siamese and triplet networks with online pair/triplet mining in PyTorch