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[D] ML for clinical trials

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]

Fri Apr 26, 2024 05:26
[P] Multihead Mixture of Experts - Implementation of dense subtoken routing suggested in https://arxiv.org/pdf/2404.15045

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]

Fri Apr 26, 2024 02:26
[D] HyenaDNA and Mamba are not good at sequential labelling ?

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...

Thu Apr 25, 2024 23:27
[P] Drug toxicity prediction model with graph-based neural networks

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]

Thu Apr 25, 2024 23:27
[D] Does anyone use Bedrock Agents for function calling?

I have a use case to use function calling within my application, I am confused whether to choose OpenAI function calling or use Bedrock Agents coupled with Lambda functions for this, which is the best approach? Or help me to choose between these two. submitted by /u/raman_boom [link] [comments]

Thu Apr 25, 2024 23:27
[D] What are your horror stories from being tasked impossible ML problems

ML is very good at solving a niche set of problems, but most of the technical nuances are lost on tech bros and managers. What are some problems you have been told to solve which would be impossible (no data, useless data, unrealistic expectations) or a misapplication of ML (can you have this LLM do all of out accounting). submitted by /u/LanchestersLaw...

Thu Apr 25, 2024 23:27

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