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We are trying to apply this method on a **medical dataset**, and have about **70K images** (224 res) for **5 classes**. However, our training doesn't converge (we tried a range of learning rates e.g. …
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### Feature
[Revisiting Recurrent Reinforcement Learning with Memory Monoids](https://arxiv.org/abs/2402.09900) provides a method to combine recurrent models with standard, nonrecurrent RL losses. Th…
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Thanks for your work!
This work achieved 40.5 mAP on COCO without external datasets or knowing novel classes during training. However I found that the Linear Probing on Novel Classes would indeed u…
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**Objective:** Improve clarity of miniGPT through comments or code modifications that do not alter functionality.
- We can check http://nlp.seas.harvard.edu/annotated-transformer/ for inspiration
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@woctezuma
Sorry to bother you again. But I just wanna know how can i get correct ImageNet-like dataset
- For example,when i train dinov1, it's simple and it just uses a ImageFolder
- Below pictu…
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Many thanks for your great work.
I have a question about the Post-Net after the Mel Linear layer, I find in the inference stage, you use the mel_pred as output rather than the postnet_pred, which i…
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A load/generation component with a manually provided voltage-power characteristic as input is needed for modelling a Photovoltaic or a motor as modeled in vision.
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Aditi Bharadwaj
Period 3 Lopez
[2021 MCQ Hacks](https://aditi99b.github.io/notebook//2024/03/12/CSP-MCQ-2020-missed_IPYNB_2_.html)
[2021 MCQ Reflections](https://aditi99b.github.io/notebook//202…
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RuntimeError Traceback (most recent call last)
Cell In[22], line 1
----> 1 zeroshot_trainer.…
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I want to make visualization systems for visualizing transformers, specifically self-attention. It would be nice if it worked for Vision Transformers as well as Language Models.