Releases: Atharva-Phatak/torchflare
Releases · Atharva-Phatak/torchflare
TorchFlare-0.2.4
- 🥳 New documentation/Logo
- 💯 Updated Trainer
- New Examples
- Added ISSUE/PR templates
- ⭐ Integrated GRADIO-APP for easy prototyping.
- 🥳 Updated Data-pipelines
- Bug-fixes
- 💯 Integrated support for torchmetrics.
TorchFlare-0.2.3
- API improvements 🥳
- Flexible training using API 🔥
- Callback Decorators 🥳
- GAN Tutorials 😮
- Improvements in documentation 🥳
- Bug Fixes 🥳
TorchFlare-0.2.2
- Improved API 🥳
- New documentation !
- Bug Fixes.
TorchFlare-0.2.1
- Improved experiment API.
- Added fit methods.
- Added internal progress bar callback.
- Improved SlackNotifier Callback.
- Added more tutorials.
- Bug Fixes
TorchFlare-0.2.0
- Streamlined workflow of Experiment Class.
- Added keras like progress bar.
- Modified history access.
- Modified early_stopping, model_checkpoint.
- Added LRScheduler callbacks.
- Added Interpretability modules.
TorchFlare-0.1.0
Overall
- First official release of torchflare.
- Documentation and Docs added.
- CI/CD with github actions.
- Support of CPU/GPU training. DDP and TPU support coming soon.
- Experiment Module provides keras like workflow with additional metrics and callbacks.
- Off-shelf datasets and dataloaders for standard tasks like image classification, image segmetation,etc
- Metric Learning modules like ArcFace, CosFace,etc