I'm looking for an ML community that builds and collaborates together. Builds open source projects or works on collaborations. Anyone know of such a community? I'm building a neural net from scratch in Golang for timeseries prediction and would be nice to bounce some ideas, find devs to work with. submitted by /u/dismouse [link] [comments]

If you have an idea for a new weird kind of distance metric, how would you go about evaluating and comparing it's performance to other well known metrics for similar vector types? I'm not really talking about computational performance but that it's somehow better at capturing the intuitive difference between vectors in that space. submitted by...

Hello, I'm doing a research project in which we have to generate Timeseries data (Tabular) using diffusion models. For this purpose I'm using DDPM (Denoising Diffusion Probabilistic Models) for data Generation. I have different columns in my dataset and one of the column is Datetime timestamp which is like this format ('hh-mm-ss dd-mm-yyyy'). So my...

Short version: give me some examples of client deliverables in the field of ML. Will help to judge where I stand to start freelance consulting. Hi, I am an SWE learning ML on the side. My day to day job doesn’t have much exposure to ML but a lot of GPU stuff. I started learning ML and am at a stage where I can implement some models from research papers....

I am curious. Anyone works in traditional enterprises like banking manufacturing actually using gen ai? If yes how? submitted by /u/digital-bolkonsky [link] [comments]

In the diffusion paper they say their model’s codelength gap in train and test is at most 0.03 bits per dimension, ehich suggests that the midel doesn’t overfit. But what does it even mean that the model is overfitted in the diffusion case? Does it then only denoise into images from the training set? Cheers! submitted by /u/Error40404 [link]...