lucidrains / medical-ai-experimentsLinks
A repository to house some personal attempts to beat some state-of-the-art for medical datasets
☆99Updated last year
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☆65Updated 10 months ago
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆97Updated last year
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆99Updated last year
- ☆74Updated 2 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆136Updated 3 months 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
- Contrastive Language-Image Pretraining☆38Updated last year
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 11 months ago
- Visualizing representations with diffusion based conditional generative model.☆95Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 4 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated 9 months ago
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated 8 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 5 months ago
- Axial Positional Embedding for Pytorch☆83Updated 4 months ago
- Implementation of Infini-Transformer in Pytorch☆111Updated 6 months ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆91Updated 3 years ago
- This repository will be a summary and outlook on all our open, medical, AI advancements.☆31Updated 2 years ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- Implementation of Metaformer, but in an autoregressive manner☆25Updated 3 years ago
- ☆32Updated last year
- Utilities for PyTorch distributed☆24Updated 4 months ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated 2 years ago
- Implementation of a U-net complete with efficient attention as well as the latest research findings☆282Updated last year
- Code for Principal Masked Autoencoders☆27Updated 3 months ago
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆53Updated 2 years ago
- Memory-Efficient CUDA kernels for training ConvNets with PyTorch.☆42Updated 4 months ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated 2 years ago
- Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training …☆18Updated 3 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆51Updated 3 months ago