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The Open and Close Artificial Intelligence (OCAI) is an Encoder-Decoder LSTM network for stock prediction.

active 2024-09-182024-12-03 (UTC)

Complete coverage26,463 / 26,463 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
45
Pushes
25
Pull requests
0
Issues
14
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 77 days from 2024-09-18 to 2024-12-03. Pushes: 25 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 14 total, peak 14 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
bea-eldridge19800
EvanA410700
stormy-channing101000

Recent activity

Latest issues, pull requests and releases

  • Issue#9EvanA42024-10-02 20:07
    slideWindow function
  • Issue#8EvanA42024-10-02 20:04
    Create forward function for seq2seq model
  • Issue#7EvanA42024-10-02 20:02
    Create init function for seq2seq model
  • Issue#1bea-eldridge2024-10-02 19:49
    Putting the dataset into the appropriate tensors
  • Issue#3bea-eldridge2024-10-02 19:48
    Create a training loop, print the cost
  • Issue#4bea-eldridge2024-10-02 19:48
    Create the test, print the loss
  • Issue#5bea-eldridge2024-10-02 19:48
    Ideas to improve upon
  • Issue#6bea-eldridge2024-10-02 19:48
    Midterm Project Report
  • Issue#6bea-eldridge2024-10-02 19:32
    Midterm Project Report
  • Issue#5bea-eldridge2024-10-02 19:32
    Ideas to improve upon
  • Issue#4bea-eldridge2024-10-02 19:32
    Create the test, print the loss
  • Issue#3bea-eldridge2024-10-02 19:31
    Create a training loop, print the cost
  • Issue#2bea-eldridge2024-10-02 19:31
    Setting up the appropriate architecture for the model, getting our first evaluation of an input
  • Issue#1bea-eldridge2024-10-02 19:31
    Putting the dataset into the appropriate tensors

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.