Iain Carmichael's starred repositories
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
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.
SimpleParsing
Simple, Elegant, Typed Argument Parsing with argparse
aicsimageio
Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python
large_image
Python modules to work with large multiresolution images.
yet-another-lightning-hydra-template
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
FAST-Pathology
⚡ Open-source software for deep learning-based digital pathology
awesome-biological-image-analysis
A curated list of software, tools, pipelines, plugins etc. for image analysis related to biological questions.
cellseg_models.pytorch
Encoder-Decoder Cell and Nuclei segmentation models
veridical-flow
Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
seaborn-image
High-level API for attractive and descriptive image visualization in Python
PathProfiler
Pipeline for computational pathology
napari-wsi
A plugin to read whole slide images within napari.
napari-monailabel
MONAI Label client plugin for napari