This is the repository for paper: Gradient-based Parameter Selection for Efficient Fine-Tuning

A CIFAR10-like galaxy image dataset

A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models

Reliable, minimal and scalable library for pretraining foundation and world models

Repository for materials related to the What Lies Unseen Project

Official code of Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

Reference PyTorch implementation and models for DINOv3

Command and Conquer: Generals - Zero Hour

PyTorch code and models for the DINOv2 self-supervised learning method.

Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"

A small repository demonstrating the use of Webdataset and Imagenet

PyTorch implementation of Masked Autoencoder

Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

This repo contains the official implementation of ICLR 2024 paper "Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video""

Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Awesome Incremental Learning

PyTorch dataset for CUB-200-2011

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Generacja danych w https://github.com/krzyk/szczepimy

Few-Shot Learning with Localization in Realistic Settings

Deep Learning with Multiple Objectives: 2021 edition