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atten_deep_mil

This is an implementation of ICML 2018 "Attention-based Deep MIL"

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

cnn-rnn-a-unified-framework-for-multi-label-image-classification

Paper implementation

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

crfasrnnlayer

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)

deep-image-prior

Image restoration with neural networks but without learning.

enhance_srh

Deep learning-based enhancement of stimulated Raman histology images

everforest

🌲 Comfortable & Pleasant Color Scheme for Vim

image-caption-generator

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-gan

Keras implementations of Generative Adversarial Networks.

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

multiple-instance-learning

Pytorch implementation of three Multiple Instance Learning or Multi-classification papers

published_papers

PDFs of published papers for download

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_tutorial

PyTorch 1.0 Tutorial

stable-diffusion

umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.