DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Familiarity with Flux.jlUnderstanding of convolutional layersBasic knowledge of recurrent networks
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
35
Research direction
Refer to the linked MXNet implementation for reference. Start by examining existing convolutional layers in Flux (e.g., Conv, ConvTranspose) and recurrent cells (e.g., LSTM, GRU). Implement a ConvRNN cell similar to the MXNet version, then combine multiple cells to form ConvLSTM. Ensure compatibility with Flux's automatic differentiation. Open a draft PR early for feedback.
