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Pronóstico Meteorológico Probabilístico usando Machine Learning para el Clima de Bogotá

active 2023-08-162026-03-29 (UTC)

Partial coverage20,531 / 26,287 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
386
Pushes
6
Pull requests
5
Issues
25
Stars
261
Forks
53

Activity over time

Daily event counts in the loaded window

Line chart, 957 days from 2023-08-16 to 2026-03-29. Pushes: 6 total, peak 6 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 25 total, peak 4 in a day. Comments: 28 total, peak 3 in a day. Stars: 261 total, peak 16 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

Recent activity

Latest issues, pull requests and releases

  • Issue#59Gwenielulu2025-10-22 07:17
    Difficulty reproducing forecasting results with identical config and pretrained weights
  • Issue comment#58microsoft-github-policy-service[bot]2025-09-07 21:41
    Run on a mac the climax inference
  • Issue comment#58microsoft-github-policy-service[bot]2025-09-07 21:02
    Run on a mac the climax inference
  • Pull request#58sakomws2025-09-07 21:01
  • Issue#57liu-jiabing2025-07-28 13:04
    "When will the visualization code be released?"
  • Issue#54myamamoto262025-03-14 01:37
    About pretraining and finetuning time at different resolutions
  • Issue#52ShileiCao2025-02-28 02:28
    Inquiry about CLIMAX Pre-training Time
  • Issue comment#49Teenye2024-10-27 10:05
    Some questions about the downscaling results from Climax downscaling.
  • Issue comment#49Teenye2024-10-27 10:03
    Some questions about the downscaling results from Climax downscaling.
  • Issue#49Teenye2024-10-27 10:02
    Some questions about the downscaling results from Climax downscaling.
  • Issue#42rejuvyesh2024-08-18 16:38
    If use Docker to build the image as introductions,the name should obey dns rules,and so the name of image must be lowercase?
  • Issue#44tung-nd2024-08-18 07:26
    How to handle Nan values ​​in training data?
  • Issue#48PSacfc2024-08-09 07:04
    About num_workers > 1
  • Issue#47rejuvyesh2024-07-30 23:40
    How can I measure the performance of a fine-tuned model for a specific region?
  • Issue comment#47Jeongmingyeong2024-07-30 23:37
    How can I measure the performance of a fine-tuned model for a specific region?
  • Issue#46wuangnying2024-07-20 06:19
    acc and rmse in metrics.py might contain some errors.
  • Issue#45pugt992024-07-18 05:48
    How to view log files in tensorboard format?
  • Issue#45pugt992024-06-16 02:37
    How to view log files in tensorboard format?
  • Issue#43vishalned2024-05-08 04:29
    Predict Range and hrs_each_step
  • Issue comment#42rejuvyesh2024-04-08 03:42
    If use Docker to build the image as introductions,the name should obey dns rules,and so the name of image must be lowercase?
  • Issue comment#42Ericc10272024-04-08 01:26
    If use Docker to build the image as introductions,the name should obey dns rules,and so the name of image must be lowercase?
  • Issue comment#42rejuvyesh2024-04-06 22:48
    If use Docker to build the image as introductions,the name should obey dns rules,and so the name of image must be lowercase?
  • Issue#42Ericc10272024-04-04 04:48
    If use Docker to build the image as introductions,the name should obey dns rules,and so the name of image must be lowercase?
  • Issue#21rejuvyesh2024-03-03 18:33
    The pre-train code has a bug with the number of nodes
  • Issue#39tung-nd2024-03-03 18:10
    How to use trained ClimaX model for predictions?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 261 stars here means stars gained during the window, not the repo's star count.