lucidrains / medical-ai-experiments
A repository to house some personal attempts to beat some state-of-the-art for medical datasets
☆98Updated 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
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆60Updated 7 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 8 months ago
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆97Updated last year
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆52Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆91Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆50Updated 3 weeks ago
- Experiment with diffusion models that you can run on your local jupyter instances☆59Updated 5 months ago
- Visualizing representations with diffusion based conditional generative model.☆94Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆120Updated 8 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆59Updated 2 months ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆88Updated last year
- Contrastive Language-Image Pretraining☆38Updated 9 months ago
- Implementation of LogAvgExp for Pytorch☆35Updated last week
- ☆73Updated 2 years ago
- Implementation of Infini-Transformer in Pytorch☆110Updated 3 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆50Updated 10 months ago
- Experiments in Joint Embedding Predictive Architectures (JEPAs).☆39Updated last year
- Implementation of Agent Attention in Pytorch☆90Updated 9 months ago
- Representation Learning with Diffusion Models☆32Updated 2 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training …☆18Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆102Updated last month
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆131Updated 3 weeks ago
- Deep Networks Grok All the Time and Here is Why☆34Updated 11 months ago
- Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learnin…☆20Updated this week
- Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words☆59Updated last year
- 2D Vector-Quantized Auto-Encoder for compression of Whole-Slide Images in Histopathology☆16Updated 9 months ago