g-simmons / g-simmons/OSSCaster

Model predictions for each timestep

Open
#22 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
0
Forks
0
PR merge metrics
No merged PRs in 30d

Description

Need trained model files for all sequence lengths (like the original paper)

OR

One model trained with padded sequences

The first is probably fine, loading the models from disk doesn't take that long

Contributor guide

No contributing guide indexed for this repository

Research direction

No files, tests, or entry points are named. Start by clarifying whether the project should load separate trained models for each sequence length or use one model with padded sequences. Done means implementing the selected approach and providing model files or training support for all required sequence lengths.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.