This framework implements key experiments on the sparse double descent phenomenon (ICML 2022).

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

Towards a general-purpose foundation model for computational pathology - Nature Medicine

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

An open source implementation of CLIP.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

[ICCV 2023] Pytorch implementation of "S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields".

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

[ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…

Local Temperature Scaling for Probability Calibration

CVPR 2023, Class Attention Transfer Based Knowledge Distillation

A PyTorch Library for Multi-Task Learning

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

The official codebase for Predictive Inference with Feature Conformal Prediction

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Fast and Accurate ML in 3 Lines of Code

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23…

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"