lucidrains / medical-ai-experimentsLinks
A repository to house some personal attempts to beat some state-of-the-art for medical datasets
☆100Updated 2 years ago
Alternatives and similar repositories for medical-ai-experiments
Users that are interested in medical-ai-experiments are comparing it to the libraries listed below
Sorting:
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆72Updated last year
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆98Updated 2 years ago
- Contrastive Language-Image Pretraining☆38Updated last year
- Visualizing representations with diffusion based conditional generative model.☆103Updated 2 years ago
- This repository will be a summary and outlook on all our open, medical, AI advancements.☆31Updated 2 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆144Updated 9 months ago
- 2D Vector-Quantized Auto-Encoder for compression of Whole-Slide Images in Histopathology☆16Updated last year
- A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)☆152Updated last month
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆124Updated 4 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 9 months ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆91Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆121Updated last year
- Code for Principal Masked Autoencoders☆30Updated 9 months ago
- ☆32Updated last year
- Implementation of a U-net complete with efficient attention as well as the latest research findings☆291Updated last year
- Implementation of Agent Attention in Pytorch☆93Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated last year
- Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training …☆19Updated 3 years ago
- ☆75Updated 3 years ago
- Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space☆235Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 9 months ago
- Axial Positional Embedding for Pytorch☆84Updated 10 months ago
- Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).☆38Updated 2 years ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆98Updated 4 years ago
- Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch☆103Updated 2 years ago
- Implementation of Metaformer, but in an autoregressive manner☆26Updated 3 years ago
- Boltzmann Attention Sampling for Image Analysis with Small Objects☆34Updated 5 months ago