All Projects → ducha-aiki → LSUV-pytorch

ducha-aiki / LSUV-pytorch

Licence: BSD-2-Clause license
Simple implementation of the LSUV initialization in PyTorch

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to LSUV-pytorch

LSUV-keras
Simple implementation of the LSUV initialization in keras
Stars: ✭ 65 (+27.45%)
Mutual labels:  convolutional-networks, initialization, lsuv, lsuv-initialization
SemiDenseNet
Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.
Stars: ✭ 55 (+7.84%)
Mutual labels:  convolutional-networks
Deep Learning Specialization Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Stars: ✭ 146 (+186.27%)
Mutual labels:  convolutional-networks
Keras Fcn
A playable implementation of Fully Convolutional Networks with Keras.
Stars: ✭ 206 (+303.92%)
Mutual labels:  convolutional-networks
Deblurgan
Image Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (+3886.27%)
Mutual labels:  convolutional-networks
Fcn
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 211 (+313.73%)
Mutual labels:  convolutional-networks
Eye Tracker
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
Stars: ✭ 140 (+174.51%)
Mutual labels:  convolutional-networks
deeplearning-papernotes
No description or website provided.
Stars: ✭ 22 (-56.86%)
Mutual labels:  convolutional-networks
Good Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Stars: ✭ 248 (+386.27%)
Mutual labels:  convolutional-networks
Squeeze and excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Stars: ✭ 192 (+276.47%)
Mutual labels:  convolutional-networks
Affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Stars: ✭ 191 (+274.51%)
Mutual labels:  convolutional-networks
Tf Adnet Tracking
Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Stars: ✭ 162 (+217.65%)
Mutual labels:  convolutional-networks
Ml Workspace
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Stars: ✭ 221 (+333.33%)
Mutual labels:  convolutional-networks
Spynet
Spatial Pyramid Network for Optical Flow
Stars: ✭ 158 (+209.8%)
Mutual labels:  convolutional-networks
class-norm
Class Normalization for Continual Zero-Shot Learning
Stars: ✭ 34 (-33.33%)
Mutual labels:  initialization
Livianet
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Stars: ✭ 143 (+180.39%)
Mutual labels:  convolutional-networks
Naszilla
Naszilla is a Python library for neural architecture search (NAS)
Stars: ✭ 181 (+254.9%)
Mutual labels:  convolutional-networks
Colorizing With Gans
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Stars: ✭ 209 (+309.8%)
Mutual labels:  convolutional-networks
GTAV-Self-driving-car
Self driving car in GTAV with Deep Learning
Stars: ✭ 15 (-70.59%)
Mutual labels:  convolutional-networks
temporal-binding-network
Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch
Stars: ✭ 95 (+86.27%)
Mutual labels:  convolutional-networks

Layer-sequential unit-variance (LSUV) initialization for PyTorch

This is sample code for LSUV and initializations, implemented in python script within PyTorch framework.

Usage:

from LSUV import LSUVinit
...
model = LSUVinit(model,data)

See detailed example in example.py

LSUV initialization is described in:

Mishkin, D. and Matas, J.,(2015). All you need is a good init. ICLR 2016 arXiv:1511.06422.

Original Caffe implementation https://github.com/ducha-aiki/LSUVinit

Torch re-implementation https://github.com/yobibyte/torch-lsuv

Keras implementation: https://github.com/ducha-aiki/LSUV-keras

New! Thinc re-implementation LSUV-thinc

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].