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ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

augly

A data augmentations library for audio, image, text, and video.

bass

Bayesian Adaptive Superpixel Segmentation (ICCV 2019)

cnn-visualization

Visualize How Convolutional Neural Networks Work with Keras

coding-interview-university

A complete computer science study plan to become a software engineer.

comparisondetector

The implement for Comparison Detector: Convolutional Neural Networks for Cervical Cell Detection in the Limited-data Scenario.

demo

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai2

Temporary home for fastai v2 while it's being developed

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

ideal-icassp23

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

kits21

The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge

mask_rcnn

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

medpy

Medical image processing in Python

mlframework

mmcv

OpenMMLab Computer Vision Foundation

models

Models and examples built with TensorFlow

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

monai

AI Toolkit for Healthcare Imaging

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

picie

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

pixpro

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

pixpro-tf

TF2.x implementation of PixPro (Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021).

pretext-invariant-representations

Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-polynomial-lr-decay

Polynomial Learning Rate Decay Scheduler for PyTorch

pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

self-supervised-3d-tasks