Stars
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)
Example Jupyter notebooks hosted on Kaggle that demonstrate how to work with US energy data from PUDL.
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
A package for human-algorithm collaborative Bayesian optimization.
HyperFast : Instant Classification for Tabular Data
Utility to import content from multiple services (and a CLI, too)
A curated list of awesome responsible machine learning resources.
A list of research papers of explainable machine learning.
Code and methodology to produce the dataset in Grist's Misplaced Trust investigation
Fasten is an open-source, self-hosted, personal/family electronic medical record manager
Searching Open Library by keywords to return ISBNs
A repository to track efforts to publish the EPA RMP database and associated documentation.
API for hosting nowcasting solar predictions
Statistical Rethinking Course for Jan-Mar 2023
Bias Buccaneers Image Recognition Challenge
Install PyTorch distributions with computation backend auto-detection
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Tre…
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
A curated list of amazingly awesome articles, websites and resources about diversity in technology.
Generator of 2D gaussian random fields
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation