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2020-cbms-doubleu-net

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bcdu-net

BCDU-Net : Medical Image Segmentation

colossalai

Making large AI models cheaper, faster and more accessible

data-science-projects-with-python

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

deep_auc

Stochastic AUC Maximization with Deep Neural Networks

dunet

Learning Spatial-Semantic Preserving Pixel-level Crack Detector by Refinement Fitting

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

flaxoptimizers

A collection of optimizers, some arcane others well known, for Flax.

free-python-books

Python books free to read online or download

hardnet

Tensorflow Implementation of Harmonic Dense Network.

hardnet-tensorflow

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

image-segmentation-with-unet-and-mini-unet-using-convolutional-neural-networks

The Project focuses on the task of Image Segmentation using UNET and Mini-UNET using CNN.

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, R2U-net, Attention U-net, ResUnet-a, U^2-Net, and UNET 3+ with optional ImageNet-trained backbones.

keras_unet_plus_plus

keras implementation of unet plus plus

madgrad

simple madgrad implem

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

multiresunet

neural-network-design

Notes and exercises related to the text book Neural Network Design by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus.

neural-network-design-solutions-manual

📑 Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus

nlp

numpy-ml

Machine learning, in numpy

optimizer-visualization

Visualize Tensorflow's optimizers.

paper-implementation-overview-gradient-descent-optimization-sebastian-ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

py

Repository to store sample python programs for python learning