All Projects → kumar-shridhar → Pytorch Softplus Normalization Uncertainty Estimation Bayesian Cnn

kumar-shridhar / Pytorch Softplus Normalization Uncertainty Estimation Bayesian Cnn

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

Projects that are alternatives of or similar to Pytorch Softplus Normalization Uncertainty Estimation Bayesian Cnn

Nbmultitask
multithreading/multiprocessing with ipywidgets and jupyter notebooks
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Madmom tutorials
Tutorials for the madmom package.
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Pm Pyro
PyMC3-like Interface for Pyro
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook
Mooc Neurons And Synapses 2017
Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Pyhat
Python Hyperspectral Analysis Tools
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Machinelearningdeeplearning
李宏毅2021机器学习深度学习笔记PPT作业
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Tf eager
Exercises for tf (eager) learning
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Numerical methods youtube
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Pydata Amsterdam 2016
Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Yolact Tutorial
A tutorial for using YOLACT in Google Colab
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook
Ml Weekly
My weekly of machine learning. Collection of implemented algorithms.
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
2016learnpython
Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Lectures2020
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook
Densedepth
High Quality Monocular Depth Estimation via Transfer Learning
Stars: ✭ 963 (+2818.18%)
Mutual labels:  jupyter-notebook
Attentive Neural Processes
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook
Mckinsey Analytics Online Hackathon
Source Code for McKinsey Analytics Online Hackathon
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Omx
Open Matrix (OMX)
Stars: ✭ 32 (-3.03%)
Mutual labels:  jupyter-notebook
Simple Ssd For Beginners
This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook
Voice emotion
Detecting emotion in voices
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook
Gaze Estimation
A deep learning based gaze estimation framework implemented with PyTorch
Stars: ✭ 33 (+0%)
Mutual labels:  jupyter-notebook

PyTorch-Softplus-Normalization-Uncertainty-Estimation-Bayesian-CNN

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

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].