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Tensorleap

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.

Examples

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

TensorLeap's Projects

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

helm icon helm

The Kubernetes Package Manager

homebrew-core icon homebrew-core

🍻 Default formulae for the missing package manager for macOS (or Linux)

kibana icon kibana

Your window into the Elastic Stack

onnx2keras icon onnx2keras

Convert ONNX model graph to Keras model format.

react-grid-layout icon react-grid-layout

A draggable and resizable grid layout with responsive breakpoints, for React.

tar-stream icon tar-stream

tar-stream is a streaming tar parser and generator.

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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