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This is my own Deep Learning Package, optimized for performing Deep Learning Tasks and easy to learn and integrate into projects. Check out for more information: https://pypi.org/project/pydeepflow/

active 2024-09-212026-02-11 (UTC)

Complete coverage26,345 / 26,345 hourly files (100%) · 2 absent upstream2023-08-152026-08-16 (UTC)
Events
421
Pushes
58
Pull requests
67
Issues
64
Stars
24
Forks
17

Activity over time

Daily event counts in the loaded window

Line chart, 509 days from 2024-09-21 to 2026-02-11. Pushes: 58 total, peak 7 in a day. Pull requests: 67 total, peak 9 in a day. Issues: 64 total, peak 11 in a day. Comments: 151 total, peak 18 in a day. Stars: 24 total, peak 4 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#124ravin-d-272026-02-11 06:23
    Fix the issues in Earning calls Free Key analysis, and do test runs with 2 or more calls in parallel
  • Issue#122Namesakenberg2025-11-03 02:11
    Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
  • Issue comment#123Namesakenberg2025-11-02 16:56
    feat(pretrained): add VGG19 model and export in pretrained package
  • Issue#122ravin-d-272025-10-30 02:12
    Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
  • Issue#122ravin-d-272025-10-30 02:12
    Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
  • Issue comment#121ravin-d-272025-10-30 02:11
    Add VGG19 Architecture Support to PyDeepFlow
  • Issue comment#122Namesakenberg2025-10-28 22:15
    Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
  • Issue#121Namesakenberg2025-10-27 06:03
    Add VGG19 Architecture Support to PyDeepFlow
  • Issue comment#116darshbaxi2025-10-25 06:01
    Add Root Mean Squared Error (RMSE) metric to pydeepflow.metrics (#111)
  • Issue comment#119Shashank0701-byte2025-10-23 08:47
    Unified Model Serialization, Export, and Deployment API
  • Issue#119ravin-d-272025-10-23 07:36
    Unified Model Serialization, Export, and Deployment API
  • Issue#119ravin-d-272025-10-23 07:36
    Unified Model Serialization, Export, and Deployment API
  • Issue#117ravin-d-272025-10-21 11:26
    Feature: Add ImageDataGenerator for Data Augmentation
  • Issue comment#119Shashank0701-byte2025-10-21 10:44
    Unified Model Serialization, Export, and Deployment API
  • Issue#119dagbolade2025-10-21 09:34
    Unified Model Serialization, Export, and Deployment API
  • Issue#84ravin-d-272025-10-21 08:17
    Bug in im2col_indices Function - Incorrect Memory Layout
  • Issue comment#113ravin-d-272025-10-21 08:12
    Add RMSE metric for regression evaluation (#111)
  • Issue#117ravin-d-272025-10-21 08:11
    Feature: Add ImageDataGenerator for Data Augmentation
  • Issue#117ravin-d-272025-10-21 08:11
    Feature: Add ImageDataGenerator for Data Augmentation
  • Issue comment#112Namesakenberg2025-10-16 05:32
    Proposal: Add Transfer Learning Architectures Starting with VGG16
  • Issue comment#111Baibhab132025-10-15 06:10
    Add RMSE (Root Mean Squared Error) metric
  • Issue comment#75DagaBhai2025-10-08 16:42
    add more metrics
  • Issue comment#93roshan-acharya2025-10-08 15:26
    [New Feature] Add new loss functions
  • Issue comment#74sgindeed2025-10-08 06:52
    Issue: Redundant Scoring Logic in GridSearchCV.fit()
  • Issue comment#84ravin-d-272025-10-08 02:28
    Bug in im2col_indices Function - Incorrect Memory Layout

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 24 stars here means stars gained during the window, not the repo's star count.