Tensorleap provides cutting-edge explainability and optimization engines, accelerates the development flow, and enables users to create better models.
This repository includes examples of Tensorleap's integration with multiple tasks, models, and datasets.
| Example | Task | Description |
|---|---|---|
| Cifar10 - Resnet | Classification | We've used ResNet-18 model to classify the Cifar10 dataset |
| CityScapes - Object Detection | Object Detection | We've used YoloV7 to detect in CityScapes dataset |
| Domain Gap | Semantic Segmentation | We've used DeepLabV3Plus to segment autonomous driving datasets: CityScapes and Kitti |
| Optical Flow - Raft | Optical Flow | We've used Raft model to estimate optical flow in Kitti dataset |
| SQuAD - Albert | Q&A | We've used Albert model to solve question answering task in SQuAD dataset |
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