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Original Repository: https://github.com/ml-explore/mlx-examples/
Listing out examples from there which would be nice to have. We don't expect the models to work out the moment they are translated to …
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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Hi, thank you for your paper demystifying the "Variational Diffusion Models". In the original paper [Variational Diffusion Models version 1](https://arxiv.org/pdf/2107.00630v1) and 2, there is an equa…
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The idea is perhaps future-looking, but I'd like to bring it up for discussion.
## Motivations
* Reduce the GPU/NPU memory required for completing a use case (e.g. text2image).
* Reduce the mem…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 months ago
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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Hi, I just read the paper "Variational Diffusion Models" but the paper just shows an integral to calculate p(x), which is impossible. I wonder how to calculate the density p(x) of example x in practic…
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## 論文リンク
https://arxiv.org/abs/2006.11239
## 公開日（yyyy/mm/dd）
2020/06/19
## 概要
新しいタイプの画像生成モデルである denosing diffusion probabilistic models を提案した論文。
diffusion model は画像にノイズを載せていく forward process…
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### Model/Pipeline/Scheduler description
The generative priors of pre-trained latent diffusion models have demonstrated great potential to enhance the perceptual quality of image super-resolution (SR…
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Why does the Latent Diffusion Model use **variational autoencoders (VAE)** or similar generative models like **VQ-GAN/VAE** for compression instead of using **AutoEncoder (AE)?** If AE can be consider…