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**Is your feature request related to a current problem? Please describe.**
There is a growing trend in using large, pre-trained neural models for zero shot forecasting. There is a whole family of mod…
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### Description of feature
The following methods look interesting:
```[tasklist]
### Tasks
- [ ] https://github.com/nf-core/scdownstream/issues/21
- [ ] https://github.com/nf-core/scdownstream/issue…
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A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning.
This project illus…
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Investigate the possibility to replace the detection part in YOLO architechture.
Examples could be including foundational models like SegmentAnything, Dino (Meta)
or Siamese neural networks.
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
A **deep convolutional generative adversarial network** implemented in **PyTorch**! The pr…
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# WIP
### Goals and Objectives
**Objective:** Develop and enhance the Theory section of Polykey’s documentation to provide users with in-depth theoretical knowledge that supports their understandi…
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Do you have any plans to support multimodal LLMs, such as MiniGPT-4/MiniGPT v2 (https://github.com/Vision-CAIR/MiniGPT-4/) and LLaVA (https://github.com/haotian-liu/LLaVA/)? That would be a significan…
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The short seed of the idea is this:
Use Guix's unique properties (self-compilation and executability) to analyze how AI models "receive" and integrate knowledge when fine-tuned on Guix code.
Measure…
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Currently, squidpy focusses mostly on local [spatial neighborhoods ](https://squidpy.readthedocs.io/en/stable/notebooks/tutorials/tutorial_vizgen_mouse_liver.html#neighborhood-enrichment) for niche an…
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hello, i am wodering how can i train the model on my own datasets