Top 11 Jupyter Notebook transfer-learning Projects
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super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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artificial-self-AMLD-2020
Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"
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FunMatch-Distillation
TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
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xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
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One-Piece-Image-Classifier
A quick image classifier trained with manually selected One Piece images.
Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.
For a long time, the state-of-the-art models for monocular depth estimation such as DORN and DenseDepth were built with convolutional neural networks. Recently, however, both transformer-based models such as DPT and GLPN, and diffusion-based models like Marigold have achieved remarkable results!
Jupyter Notebook transfer-learning related posts
Index
What are some of the best open-source transfer-learning projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | super-gradients | 4,322 |
2 | DenseDepth | 1,533 |
3 | torchxrayvision | 828 |
4 | TrainYourOwnYOLO | 635 |
5 | HIPT | 452 |
6 | bert-sklearn | 293 |
7 | sign2text | 148 |
8 | artificial-self-AMLD-2020 | 80 |
9 | FunMatch-Distillation | 79 |
10 | xrays-and-gradcam | 44 |
11 | One-Piece-Image-Classifier | 2 |
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