Stephen Anthony Rose's repositories
the-algorithm
Source code for Twitter's Recommendation Algorithm
rosey-graph
Cute graphing library
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
MMMM
The thinker or something like that 'Modular Multi Modal Model'
ConcreteDropout
PyTorch implementation of 'Concrete Dropout'
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
maptree
Update to modern SKLearn
NLPWithTransformersNotebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
qlora
QLoRA: Efficient Finetuning of Quantized LLMs
rosey-keras
Utilities for Tensorflow Keras
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.
lightning
Large-scale linear classification, regression and ranking in Python
rosey-power
Finally, Easy and simple power analysis
seaborn
Statistical data visualization using matplotlib
rosey-sim
little package for very basic sensitivity analysis
tensorflow
An Open Source Machine Learning Framework for Everyone
PliableLasso
Python implementation of the pliable lasso
merf
Mixed Effects Random Forest
brent
bayesian graphical modelling and a bit of do-calculus for discrete data.