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 2024-09-21 → 2026-02-11 (UTC)
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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ravin-d-27 | 231 | 58 | 44 | 74 |
| G0v1ndD3v | 14 | 0 | 2 | 11 |
| Kcodess2807 | 12 | 0 | 3 | 6 |
| SujitSakore | 11 | 0 | 3 | 8 |
| DhanashreePetare | 9 | 0 | 2 | 7 |
| Sohammhatre10 | 8 | 0 | 3 | 5 |
| DevPatel-11 | 7 | 0 | 1 | 4 |
| Namesakenberg | 5 | 0 | 0 | 3 |
| pearguacamole | 5 | 0 | 1 | 3 |
| vijay-x-Raj | 4 | 0 | 1 | 1 |
| Abhinavks1405 | 3 | 0 | 0 | 3 |
| aryanguptacsvtu | 3 | 0 | 0 | 2 |
| DagaBhai | 3 | 0 | 0 | 2 |
| BhagwatiOracle | 3 | 0 | 0 | 2 |
| roshan-acharya | 3 | 0 | 0 | 2 |
| vaish-navi-n | 3 | 0 | 1 | 2 |
| lakshmi-d-27 | 3 | 0 | 3 | 0 |
| prathamd69 | 3 | 0 | 0 | 3 |
| Sanjana-chennu | 3 | 0 | 0 | 1 |
| Shashank0701-byte | 2 | 0 | 0 | 2 |
Recent activity
Latest issues, pull requests and releases
- Issue#124ravin-d-272026-02-11 06:23Fix the issues in Earning calls Free Key analysis, and do test runs with 2 or more calls in parallel
- Issue#122Namesakenberg2025-11-03 02:11Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
- Issue comment#123Namesakenberg2025-11-02 16:56feat(pretrained): add VGG19 model and export in pretrained package
- Issue#122ravin-d-272025-10-30 02:12Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
- Issue#122ravin-d-272025-10-30 02:12Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
- Issue comment#121ravin-d-272025-10-30 02:11Add VGG19 Architecture Support to PyDeepFlow
- Issue comment#122Namesakenberg2025-10-28 22:15Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support
- Issue#121Namesakenberg2025-10-27 06:03Add VGG19 Architecture Support to PyDeepFlow
- Issue comment#116darshbaxi2025-10-25 06:01Add Root Mean Squared Error (RMSE) metric to pydeepflow.metrics (#111)
- Issue comment#119Shashank0701-byte2025-10-23 08:47Unified Model Serialization, Export, and Deployment API
- Issue#119ravin-d-272025-10-23 07:36Unified Model Serialization, Export, and Deployment API
- Issue#119ravin-d-272025-10-23 07:36Unified Model Serialization, Export, and Deployment API
- Issue#117ravin-d-272025-10-21 11:26Feature: Add ImageDataGenerator for Data Augmentation
- Issue comment#119Shashank0701-byte2025-10-21 10:44Unified Model Serialization, Export, and Deployment API
- Issue#119dagbolade2025-10-21 09:34Unified Model Serialization, Export, and Deployment API
- Issue#84ravin-d-272025-10-21 08:17Bug in im2col_indices Function - Incorrect Memory Layout
- Issue comment#113ravin-d-272025-10-21 08:12Add RMSE metric for regression evaluation (#111)
- Issue#117ravin-d-272025-10-21 08:11Feature: Add ImageDataGenerator for Data Augmentation
- Issue#117ravin-d-272025-10-21 08:11Feature: Add ImageDataGenerator for Data Augmentation
- Issue comment#112Namesakenberg2025-10-16 05:32Proposal: Add Transfer Learning Architectures Starting with VGG16
- Issue comment#111Baibhab132025-10-15 06:10Add RMSE (Root Mean Squared Error) metric
- Issue comment#75DagaBhai2025-10-08 16:42add more metrics
- Issue comment#93roshan-acharya2025-10-08 15:26[New Feature] Add new loss functions
- Issue comment#74sgindeed2025-10-08 06:52Issue: Redundant Scoring Logic in GridSearchCV.fit()
- Issue comment#84ravin-d-272025-10-08 02:28Bug 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.