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A tool for holistic analysis of language generations systems
A collection of useful scripts, templates, and examples for clusters using SLURM https://slurm.schedmd.com/
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Short tutorials on the use of machine learning methods for causal inference
Matplotlib styles for scientific plotting
This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A data augmentations library for audio, image, text, and video.
A collection of modern/faster/saner alternatives to common unix commands.
Easy and fast file sharing from the command-line.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Rich is a Python library for rich text and beautiful formatting in the terminal.
A curated list of awesome responsible machine learning resources.
Fit interpretable models. Explain blackbox machine learning.
Lecture slides for a guest lecture in Deep Structured Learning at Instituto Superior Técnico, Winter 2019
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Open source annotation tool for machine learning practitioners.
Label Studio is a multi-type data labeling and annotation tool with standardized output format