Pinned Repositories
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
Algorithmic-Brain-Teasers
Fun and challenging algorithmic problems and solutions in Python
anonymize-slide
Delete the label from a whole-slide image
Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
capsule-net-pytorch
A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Capsule-Networks-by-Dynamic-Routing
A Simple Structured Implementation of Capsule Networks with Dynamic Routing
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Deep-Learning-for-Pathology-Image-Analysis
Framework for Pathology Image Operations / Convolutional Neural Nets for Pathology
Linear-Chain-Conditional-Random-Fields
A python (numpy) implementation of linear-chain conditional random fields model, on a template from the great machine learning lectures of Hugo Larochelle
canermercancs's Repositories
canermercancs/Deep-Learning-for-Pathology-Image-Analysis
Framework for Pathology Image Operations / Convolutional Neural Nets for Pathology
canermercancs/AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
canermercancs/Algorithmic-Brain-Teasers
Fun and challenging algorithmic problems and solutions in Python
canermercancs/anonymize-slide
Delete the label from a whole-slide image
canermercancs/Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
canermercancs/capsule-net-pytorch
A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
canermercancs/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
canermercancs/Capsule-Networks-by-Dynamic-Routing
A Simple Structured Implementation of Capsule Networks with Dynamic Routing
canermercancs/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
canermercancs/Linear-Chain-Conditional-Random-Fields
A python (numpy) implementation of linear-chain conditional random fields model, on a template from the great machine learning lectures of Hugo Larochelle
canermercancs/DataMining
Project of Data Mining 2019/2020 UniPi
canermercancs/GeneralizedAssignment
Python3 code for solving a generalized assignment problem.
canermercancs/hadoop
Mirror of Apache Hadoop
canermercancs/joint_learning_curr
canermercancs/lookahead.pytorch
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
canermercancs/Matrix-Capsules-pytorch
A Pytorch implementation of "Matrix Capsules with EM routing"
canermercancs/MIDLLatexTemplate
Latex template for the MIDL Conference
canermercancs/PolarMask
Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'
canermercancs/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
canermercancs/sklearn_tutorials
Simple sklearn examples
canermercancs/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
canermercancs/Variational-Capsule-Routing
[Official Pytorch implementation]
canermercancs/vision
Datasets, Transforms and Models specific to Computer Vision
canermercancs/weighted-hausdorff-loss
A loss function (Weighted Hausdorff Distance) for object localization in PyTorch