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Hey there!
Congratulations on the model and thanks for open sourcing!
I would like to finetune EAT on my own dataset for audio classification. Is it possible?
If so, would the best pipeline b…
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Hello again @fschmid56 , thanks for the awesome repo!
I would like to finetune DyMNs on my own dataset for audio classification. Is it possible?
If so, would the best pipeline be to just classif…
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Great work! Have you tested the performance of this codec on diffusion-based models such as SimpleTTS or DiTTo-TTS?
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I am new to recommender systems and would like to use latent representations for users as documented here:
https://maciejkula.github.io/spotlight/factorization/representations.html#module-spotlight…
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Source
https://github.com/meta-introspector/meta-meme/wiki/Ode-to-heideigger#ode-to-heideigger
### Summary of Our Path
1. **Initial Concepts and Inspiration**:
- We began by invoking the Mu…
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### 論文へのリンク
[[arXiv:2004.13166] A Disentangling Invertible Interpretation Network for Explaining Latent Representations](https://arxiv.org/abs/2004.13166)
### 著者・所属機関
Patrick Esser, Robin Rom…
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https://github.com/jasonlbx13/FaceHack/blob/b4beda81354806a13efe3c992d819fc6a9f83d65/face_gan/main.py
Given an existing star / celebrity load / save
this code could be put into a pipeline / for …
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Start by clustering the transformed images with http://scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
Check whether compounds cluster together. Then try com…
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### Description
Learned Sparse Vectors claim to combine the benefits of sparse (i.e. lexical) and dense (i.e. vector) representations
From https://en.wikipedia.org/wiki/Learned_sparse_retrieval:…
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### 論文へのリンク
- [[arXiv:1903.08550] OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations](https://arxiv.org/abs/1903.08550)
### 著者・所属機関
Pramuditha Perera, Rames…