Who contributed to anurag629 on December 24, 2022?

1 developer shipped this update, including Anurag verma.

What were the notable anurag629 updates?

create post: Add app icon in flutter mobile app and create post: Time series forecasting of stock data using a deep learning model.

@anurag629

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Saturday, December 24, 2022

Two blog posts published on hashnode_anurag629

By RepoJournal , from @anurag629's public GitHub activity

Backfilled

1 person shipped this

Anurag verma @anurag629 2 cited

Anurag pushed two new posts to the repository: one on adding an app icon to a Flutter mobile app, and another on time series forecasting of stock data using deep learning.

Both posts were created in anurag629/hashnode_anurag629 [1] [2] across two commits on December 24. The first covered implementing an app icon in a Flutter mobile application, addressing a foundational part of app configuration. The second explored time series forecasting of stock data using a deep learning model, a more involved technical topic combining machine learning with financial data.

References

[1] create post: Add app icon in flutter mobile app anurag629/hashnode_anurag629
[2] create post: Time series forecasting of stock data using a deep learning model. anurag629/hashnode_anurag629

Quick answers

What shipped in anurag629 on December 24, 2022?: Anurag pushed two new posts to the repository: one on adding an app icon to a Flutter mobile app, and another on time series forecasting of stock data using deep learning. In total, 2 commits landed.
Who contributed to anurag629 on December 24, 2022?: 1 developer shipped this update, including Anurag verma.
What were the notable anurag629 updates?: create post: Add app icon in flutter mobile app and create post: Time series forecasting of stock data using a deep learning model.

Model catalog switched to models.dev

Anurag Verma replaced two drifting hand-maintained lists with a live feed from models.dev, fixing pricing data that was off by 3x for some models.

2 shipped

@anurag629 Aug 3

Session storage overhaul and per-model system prompts

Anurag Verma landed two major features in quantized-ai/luca-py, moving session files out of project directories and adding model-aware prompts to the agent.

4 shipped

@anurag629 Aug 2