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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

automl

Google Brain AutoML

efficientunetplusplus

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

monai

AI Toolkit for Healthcare Imaging

online-cv

A minimal Jekyll Theme to host your resume (CV)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

qca-annotator

Simple React App to make QCA annotations on x-ray coronary angiography images and corresponding and semantic segmentation masks.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

syncap

Code and data for our paper "The Role of Syntactic Planning in Compositional Image Captioning", EACL 2021.

unstructured-inference

vision

Datasets, Transforms and Models specific to Computer Vision

web-gpu-monitor

Simple web-based monitoring tool for your small GPU cluster.

zeruns