Stephen Anthony Rose's repositories
PliableLasso
Python implementation of the pliable lasso
rosey-graph
Cute graphing library
rosey-power
Finally, Easy and simple power analysis
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
causalgraphicalmodels
Causal Graphical Models in Python
ConcreteDropout
PyTorch implementation of 'Concrete Dropout'
DeleteMeBlog
delete me now!
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
NLPWithTransformersNotebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
rosey-keras
Utilities for Tensorflow Keras
tensorflow
An Open Source Machine Learning Framework for Everyone