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Top 3 Python pre-trained Projects
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Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
Also, 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
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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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ModelZoo.pytorch
Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
Python pre-trained related posts
- Where are all the multi-modal models?
- [R] ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts + Gradio Demo
- PaddleHub ERNIE-ViLG
- [R] ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
- Baidu ERNIE-ViLG, output comparable to Stable Diffusion, better in anime
- ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
- A text-to-image web app for ERNIE-ViLG is available, with output at 1024x1024 pixels. Example: "a beautiful chipmunk iceskating" (translated to Simplified Chinese by Google Translate). Links are in a comment.
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A note from our sponsor - InfluxDB
www.influxdata.com | 28 Mar 2024
Index
What are some of the best open-source pre-trained projects in Python? This list will help you:
Project | Stars | |
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1 | segmentation_models | 4,583 |
2 | MEAL-V2 | 684 |
3 | ModelZoo.pytorch | 48 |