Group sequential design for clinical trials

A Python library for amortized Bayesian workflows using generative neural networks.

Machine learning with dataframes

Distributional Random Forests (Cevid et al., 2020)

What financial info would I have wanted to know when I was 22 and jumping into tech?

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Python module for Simulated Annealing optimization

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Deep universal probabilistic programming with Python and PyTorch

GEKKO Python for Machine Learning and Dynamic Optimization

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Code that show how to optimize a DFS NBA lineup, which is a version of a knapsack problem

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

An API Client package to access the APIs for NBA.com

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

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

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

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

Experiment tracking, ML developer tools

HiPlot makes understanding high dimensional data easy

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

GloVe model for distributed word representation