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☆64Updated 9 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 11 months ago
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆53Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 5 months ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆97Updated last year
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆97Updated last year
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated 8 months ago
- Visualizing representations with diffusion based conditional generative model.☆95Updated 2 years ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- Implementation of Infini-Transformer in Pytorch☆111Updated 5 months ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆51Updated 3 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆122Updated 11 months ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated last year
- Axial Positional Embedding for Pytorch☆81Updated 4 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆85Updated last week
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆100Updated 2 years ago
- ☆74Updated 2 years ago
- ☆31Updated last week
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated 10 months ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 3 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆64Updated 3 weeks ago
- ☆81Updated 2 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆135Updated 3 months ago
- ☆10Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆63Updated this week
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆108Updated 7 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated 8 months ago
- Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space☆229Updated last year