[WACV 2025] Tumor Synthesis conditioned on Radiomics

[ICLR‘25 Spotlight] LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

[MICCAI2023] NICE-Trans: Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting

Code for evaluating and measuring the capacity of models for image classification to generalize to unseen classes (in terms of separability) within the same domain.

Code for project: Domain Adaptation for Music Transcription Using Cross-Version Consistency

[ICLR 2024] Dynamic Sparse Training with Structured Sparsity

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

Computer Vision course at Technical University of Munich

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Cramming the training of a (BERT-type) language model into limited compute.

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

A library for graph deep learning research

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

A latent text-to-image diffusion model

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

5 courses of Specialization in Deep Learning taught by Prof.Andrew Ng on Coursera

A mediumish gohugo theme, ported from jekyll

[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language