I'm starting to do some research for my graduation and I'm looking for some papers on text to speech synthesis. I'm doing some reproductions on a paper I found to be interesting called Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Prediction. Basically it's a model that receives text, turns it into a spectogram and the spectogram...

[D] Hey everyone, do you have any suggestions on what's the better option and the most effective way to dive into a hot topic these days? I stumbled upon a repository for Federated Learning at: ​ https://github.com/muditbhargava66/dropgrad https://github.com/adap/flower But can't seem to find anything similar for Meta Learning. Any advice on how...

Hey folks, I'm working on starting a company that applies ML and NLP to patient data with the intent of finding the right patients for clinical trials. I'm looking for a cofounder. Please DM me if you are interested or know someone who might be. Would love to chat. Thank you submitted by /u/another_african [link] [comments]

My friend implemented the method of Multihead Mixture of Experts in this arxiv paper https://arxiv.org/pdf/2404.15045 and he wanted me to share it with you! https://github.com/lhallee/Multi_Head_Mixture_of_Experts__MH-MOE Try it out. Let me know what you think and I will pass it on to him. submitted by /u/Prudent_Student2839 [link] [comments]

Hello guys, I've been working on a sequential labelling using DNA sequences as inputs. Lately there have been 2 foundation models released HyenaDNA (Based on Hyena operator) and Caduceus (based on mamba), I used both pretrained and from scratch models and performances are terrible even with pretrained ones. Does anyone have experience with this type...

This is a small drug toxicity prediction GNN model I wrote/trained repo: https://github.com/Null-byte-00/toxicity-prediction-gnn submitted by /u/Soroush_ra [link] [comments]