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Despite recent advances, the remaining bottlenecks in deep generative models are necessity of extensive training and difficulties with generalization from small number of training examples. …
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### Title
Brainharmonic - Generating music from brain signal data using deep learning
### Leaders
- Mariano Cabezas
- Aria Nguyen
### Collaborators
_No response_
### Brainhack Glob…
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There are examples in the book of what the WGAN should generate after 25 epochs of training.
But when I train the model, these are the generated samples at the 25th epoch of training.
I …
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# URL
- https://arxiv.org/abs/2310.17488
# Affiliations
- Kai Mei, N/A
- Yongfeng Zhang, N/A
# Abstract
- This paper presents LightLM, a lightweight Transformer-based language modelfor generativ…
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Hello, I am Sarthak Kapaliya. I am a pre-final year computer engineering undergraduate student from India, I am interested in applying for GSoC 20223. I am Well aware of Python programming languages. …
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It'd be great to have high profile model examples which we can highlight on the front page. Some ideas:
- [x] Bayesian linear regression
- [x] Hierarchical generalized linear model
- [x] Mixture mo…
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**Description**
Code Embeddings are abstract representations of source code employed in multiple automation tasks in software engineering like clone detection, traceability, or code generation. This …
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Hi, Following the provided instructions, I've created a [gitpod](https://github.com/bitsnaps/generative-models/tree/gitpod) branch to automate these instructions, I keep getting this error even after …
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Graph generative models are important for the tasks we have been describing.
The core idea is to posit a model which defines some distribution over graphs ```P(G)```, for instance via a low dimensi…
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- [x] [Neural Turing Machines(NTM)](https://arxiv.org/pdf/1410.5401) by **DeepMind** 👉 [mynote](https://github.com/towerjoo/myML/blob/master/papers/weekly/ntm.md)
- [ ] [Differentiable Neural Compute…