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A Closer Look at Accuracy vs. Robustness
multilabel-learn: Multilabel-Classification Algorithms
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Connecting Interpretability and Robustness in Decision Trees through Separation
Understanding Rare Spurious Correlations in Neural Network
What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning
Repositories
80Connecting Interpretability and Robustness in Decision Trees through Separation
No description provided.
Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
A Closer Look at Accuracy vs. Robustness
multilabel-learn: Multilabel-Classification Algorithms
No description provided.
Understanding Rare Spurious Correlations in Neural Network
Robustness for Non-Parametric Classification: A Generic Attack and Defense
TorchAudio: Building Blocks for Audio and Speech Processing
What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning
Collection of notebooks about quantitative finance, with interactive python code.
Pool-based active learning in Python
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
My public configuration files for Unix-like systems.
Nearest Category Generalization
Multi-user server for Jupyter notebooks
code for ML Doctor
No description provided.
PECOS - Prediction for Enormous and Correlated Spaces
https://github.com/commaai/speedchallenge
No description provided.
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A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
Experiment variable management tool
Simple data balancing baselines for worst-group-accuracy benchmarks.
Autovar project template
simple audio I/O for pytorch
PyTorch tutorials.