Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Starting code for the course project of Advanced Machine Learning in Multimodal Egocentric Vision

PyTorch implementation of the paper "An Embedding is Worth a Thousand Noisy Labels"

Official PyTorch implementation of the paper "Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations" @BMVC-RROW 2024

Code Repository for the ISBI 2024 paper: "Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification"

A Change Detection Repo Standing on the Shoulders of Giants

Python QR Code image generator

Python library for evaluating and enhancing model robustness in medical image analysis.

InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥

Code Repository for the ISBI 2024 paper: "Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification"

Efficient vision foundation models for high-resolution generation and perception.

Codes for paper "Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning"

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

List of Machine Learning papers summaries

Semi-supervised few-shot learning for medical image segmentation

Semi-supervised few-shot learning for medical image segmentation

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A curated list of deep learning resources for computer vision

Zenodo_get: Downloader for Zenodo records

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A LARS implementation in PyTorch

Framework to run the Federated Test-Time-Adaptation method StarAlign

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.