Stars
Benchmarking physical understanding in generative video models
Reliable, minimal and scalable library for pretraining foundation and world models
AI agents running research on single-GPU nanochat training automatically
Official Project Page for Deep Delta Learning (https://arxiv.org/abs/2601.00417)
Array format specialized for Machine Learning with Blosc2 backend and standardized metadata.
implementations and experimentation on mHC by deepseek - https://arxiv.org/abs/2512.24880
This repository provides a 3D implementation of DINOv2 for self-supervised pretraining on volumetric (3D) medical images using Lightly, MONAI, and Pytorch Lightning!
[CVPR 2026] This repo contains the code and models of SPECTRE: Self-Supervised & Cross-Modal Pretraining for CT Representation Extraction.
Processed / Cleaned Data for Paper Copilot
A utility tool to download zenodo records (supports access token downloads)
Curated list of awesome works on unsupervised object localization in 2D images.
Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"
A 3D Slicer extension for efficient segmentation with nnInteractive.
Representational Similarity Benchmark
Medical Evaluation Toolkit supporting evaluating either instance or semantic based.
A nrrd based imaging standard to save overlapping segmentation maps in a format that allows visualization in MITK
Collection of awesome medical dataset resources.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Automated deep-learning based segmentation of brain metastases on MRI
AI Plays Trackmania with Reinforcement Learning
A modular and extensible framework for training and evaluating semantic segmentation models with PyTorch Lightning, supporting multiple architectures, datasets, losses, and data augmentation pipeli…