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# RFW0119: Try other TTS models such as VITS
## Summary
We plan to use text-to-speech frequently with other apps, so it's crucial that the TTS model scales efficiently and performs well. To achiev…
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VAE and DAE: basic principles and tools
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Hi,
I recently read [this](https://ml.berkeley.edu/blog/posts/clip-art/) blog and was fascinated by the potential of these generative models. I am hoping to learn the fundamentals, reimplement models…
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A large number of [examples](https://github.com/apache/incubator-mxnet/tree/v1.7.x/example) in the mxnet official repo is using the Module APIs for training. Since the Module APIs will be removed in m…
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https://doi.org/10.1021/acs.molpharmaceut.7b00346
> Deep generative models are emerging technologies in drug discovery and biomarker development. In our recent work, we demonstrated a proof-of-conc…
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https://doi.org/10.1101/199315
>Single cell RNA sequencing (scRNA-seq) is a powerful technique to analyze the transcriptomic heterogeneities in single cell level. It is an important step for studyi…
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# Siraj's Image Generation
## Unsupervised Learning
- 如果我们没有labels，那么我们还能够训练神经网络吗？
- 这时候我们就要用到一个model叫-Variational AutoEncoder。
# Autoencoders(自编码器)
- 这个模型用于压缩数据、图像去噪。（这些功能是从数据本身中学习得到的，而不是人为设定的…
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[MurD_generative_modelling_TCS.pdf](https://github.com/opensourceantibiotics/murligase/files/8797342/MurD_generative_modelling_TCS.pdf)
We have designed few molecules against allosteric site of MurD …
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I am very interested at the work in this paper, could you please send me the code?
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Hi Eder,
Thanks for the Keras implementation! I'm excited about this idea as well. (Hopefully) quick question: I'm interested in learning an autoencoder for the output features of some other CNN …