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Pydargs allows configuring a (Pydantic) dataclass through command line arguments.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Collection of notebooks about quantitative finance, with interactive python code.
Etch-a-Snap the Etch-a-Sketch camera, built using a Raspberry Pi Zero & Camera
Investment portfolio and stocks analyzing tools for Python with free historical data
This is a finance factor model, risk model, portfolio optimization, strategies research library.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Code for my live demo at MoneyLion's Tech Talk #4 on the topic of Continuous Testing of Machine Learning Projects
An end-to-end implementation of intent prediction with Metaflow and other cool tools
🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
Collection of articles listing reasons why data science projects fail.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Prediction Intervals with specific value prediction
Search photos on Unsplash using natural language
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
A collection of Bayesian data analysis recipes using PyMC3
💊 Comparing causality methods in a fair and just way.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
DeltaPy - Tabular Data Augmentation (by @firmai)
Mega list of 1 on 1 meeting questions compiled from a variety to sources