Julian Aronowitz's starred repositories

gsDesign

Group sequential design for clinical trials

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bayesflow

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

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skrub

Prepping tables for machine learning

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drf

Distributional Random Forests (Cevid et al., 2020)

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financial_lessons

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

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prophet

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

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simanneal

Python module for Simulated Annealing optimization

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The-Elements-of-Statistical-Learning-Python-Notebooks

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

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pyro

Deep universal probabilistic programming with Python and PyTorch

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GEKKO

GEKKO Python for Machine Learning and Dynamic Optimization

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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nba-optimize

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

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cookiecutter-data-science

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

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nba_api

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

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machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

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industry-machine-learning

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

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Production-Level-Deep-Learning

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

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awesome-production-machine-learning

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

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guildai

Experiment tracking, ML developer tools

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hiplot

HiPlot makes understanding high dimensional data easy

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causal_inference_python_code

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

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DeepMoji

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

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GloVe

GloVe model for distributed word representation

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