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Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
image-captioning sequence-labeling object-detection text-classification
Model Serving using FastAPI and Streamlit
Simple example of usage of streamlit and FastAPI for ML model serving.
fastapi streamlit deeplabv3 semantic-segmentation
Image Segmentation Using Keras and W&B
This report explores semantic segmentation with a UNET like architecture in Keras and interactively visualizes the model's prediction in Weights & Biases.
semantic-segmentation kera wandb visualization
Single-Stage Semantic Segmentation from Image Labels
We attain competitive results by training a single network model for segmentation in a self-supervised fashion using only image-level annotations
semantic-segmentation single-stage conditional-random-fields pascal-voc
An Overview of Semantic Image Segmentation
Image segmentation is a computer vision task in which we label specific regions of an image according to what's being shown.
semantic-segmentation segmentation computer-vision article
Semantic Segmentation on MIT ADE20K dataset in PyTorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset.
semantic-segmentation scene-parsing ade20k pytorch
Multimodal Brain Tumor Segmentation
Segmentation of gliomas in pre-operative MRI scans. Use the provided clinically-acquired training data to produce segmentation labels.
u-net medical-imaging tumor-segmentation computer-vision
Beyond the Pixel Plane: Sensing and Learning in 3d
Recent deep learning techniques that enable 3D object classification and semantic segmentation.
3d autonomous-vehicles semantic-segmentation object-classification
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