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Solve Visual Understanding with Reinforced VLMs
What's in a Prior? Learned Proximal Networks for Inverse Problems
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
[CVPR 2025] STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification (an official implementation)
Collecting research materials on neural samplers with diffusion/flow models
ICLR'25 Oral: Improving Probabilistic Diffusion Models With Optimal Covariance Matching
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
A Repository for Diffusion-Model-related Papers in Low-level Vision
When it comes to optimizers, it's always better to be safe than sorry
Awesome lists about framework figures in papers
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Official Repo for the Paper "Laplacian Segmentation Networks Improve Epistemic Quantification"
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Official implementation of Metric Flow Matching (NeurIPS 2024)
Python Implementation of the LDDMM algorithm
My academic personal website
xzluo97 / deep_kit
Forked from wxdrizzle/deep_kitA tool for deep learning experiments based on PyTorch.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
⚡ InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
Offical Implementation of paper "CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization", WBIR 2024
Robust Equivariant Imaging (REI), CVPR'2022 Oral