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Top 10 Python efficientnet Projects
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pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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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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gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
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efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
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MEAL-V2
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
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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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DFSpot-Deepfake-Recognition
Determine whether a given video sequence has been manipulated or synthetically generated
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LCPN-hiernet
Hierarchical image classification model for fashion commerce items based on EfficientNet-b4 and LCPN (Local Classifier per Parent Node) technique.
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pytorch-efficientdet-api
A PyTorch EfficientDet API for easy training and inference on custom datasets.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
Examples of lightweight models include MobileNet, a computer vision model designed for mobile and embedded vision applications, EfficientDet, an object detection model, and EfficientNet, a CNN that uses compound scaling to enable better performance. All these are lightweight models from Google.
Here’s one made by bumble
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python efficientnet related posts
- I made a social media app
- Why did the original ResNet paper not use dropout?
- Hotdog. Not hotdog.
- Bumble open sourced its AI that detects unsolicited nudes
- Bumble open sourced its AI that detects unsolicited nudes
- Finished my first ML project, LCPN-hiernet; Hierarchical classification model using Local Classifier per Parent Node technique.
- Sharing my first ML project, LCPN-hiernet; Hierarchical classification model using LCPN (Local Classifier per Parent Node) technique.
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Index
What are some of the best open-source efficientnet projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pytorch-image-models | 29,751 |
| 2 | segmentation_models | 4,602 |
| 3 | efficientnet | 2,057 |
| 4 | gen-efficientnet-pytorch | 1,559 |
| 5 | efficientdet-pytorch | 1,550 |
| 6 | private-detector | 1,252 |
| 7 | MEAL-V2 | 684 |
| 8 | DFSpot-Deepfake-Recognition | 89 |
| 9 | LCPN-hiernet | 3 |
| 10 | pytorch-efficientdet-api | 1 |
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