Self configuring and adapting vision transformer for segmentation of 3d images
-
Updated
May 23, 2024 - Python
Self configuring and adapting vision transformer for segmentation of 3d images
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.
Doing non-Cartesian MR Imaging has never been so easy.
Transparent and reproducible medical image processing pipelines in Python.
基于 OpenKE-PyTorch 开发的知识图谱嵌入工具包,支持跨平台运行,具备自动超参数搜索、高效并行训练以及实验结果记录功能,为研究与应用提供强大助力。
Stable Diffusion web UI
Use your camera to control the mouse from a distance
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Stable Diffusion and LLMs offline on your own hardware
Internet-scale Neural Networks
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Stable Diffusion with only one python script, with the least number of lines and in the least complex way.
A simple framework to start with machine and deep learning.
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
Add a description, image, and links to the torch topic page so that developers can more easily learn about it.
To associate your repository with the torch topic, visit your repo's landing page and select "manage topics."