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explainingai-code/VideoGeneration-PyTorch

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This repo implements Video generation model using Latent Diffusion Transformers(Latte) in PyTorch and provides training and inference code on Moving mnist dataset and UCF101 dataset

active 2024-11-24 → 2025-07-01 (UTC)

Partial coverage13,265 / 15,754 hourly files (84%) · 2 absent upstream · 2,483 failed, retryable2024-10-23 → 2026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
10
Pushes
2
Pull requests
0
Issues
1
Stars
6
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 220 days from 2024-11-24 to 2025-07-01. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 6 total, peak 2 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
explainingai-code2200
xiaolong-li11000

Recent activity

Latest issues, pull requests and releases

  • Issue#1xiaolong-li12025-01-19 03:27
    Can i get the parameter of this model directly(trained on MNIST).I can not afford to train it.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.