Replication of the paper "Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference" - Yarin Gal, Zoubin Ghahramani
☆10Mar 23, 2018Updated 7 years ago
Alternatives and similar repositories for Bayesian_CNN
Users that are interested in Bayesian_CNN are comparing it to the libraries listed below
Sorting:
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36May 21, 2018Updated 7 years ago
- Interpreting Bayesian inference as continual learning with a CNN☆22Jun 15, 2018Updated 7 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Jan 15, 2020Updated 6 years ago
- Polyphase channelizer implement using Python.☆11Aug 20, 2021Updated 4 years ago
- Split-Complex Neural Network☆10Feb 15, 2019Updated 7 years ago
- Comparative Analysis of CNN, RNN and HAN for Text Classification with GloVe Data Model☆11May 4, 2019Updated 6 years ago
- C++教学用的slides & 作业☆28Dec 18, 2014Updated 11 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Running various MACHINE LEARNING algorithms and comparing their performance☆10Sep 26, 2018Updated 7 years ago
- Methods to extract tracks from time-frequency distributions; tracks can represent instantaneous frequency (IF) laws☆10May 11, 2016Updated 9 years ago
- ☆13Apr 27, 2018Updated 7 years ago
- Machine Leaning Approaches for Classification of Children with Autism Spectrum Disorder☆13Aug 18, 2020Updated 5 years ago
- Keras Label Smoothing for Supervised Learning☆11May 15, 2020Updated 5 years ago
- Code for various active transfer learning projects.☆10Feb 9, 2015Updated 11 years ago
- This is about the English test - cloze test which use the Google BERT model to predict the probable word.☆11May 18, 2021Updated 4 years ago
- Slides for the solidity 30 days 2020 tutorial. https://www.youtube.com/playlist?list=PLHmOMPRfmOxQ3HSlId8KAKxnt8yuyTZVk☆13Nov 20, 2020Updated 5 years ago
- Reimplementation of SALICON saliency model in TensorFlow☆10Nov 22, 2022Updated 3 years ago
- Library for stochastic process simulation☆14May 22, 2023Updated 2 years ago
- 论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;☆15Dec 28, 2018Updated 7 years ago
- Multi-Label Classification and Class Activation Map on Fashion MNIST☆11Mar 5, 2019Updated 6 years ago
- 目前多流形学习算法matlab代码☆13Nov 23, 2018Updated 7 years ago
- Code for the GraSP appendix of the book "Introduction to Graph Signal Processing"☆14Jul 2, 2021Updated 4 years ago
- Tensor Network Learning with PyTorch☆12Mar 20, 2019Updated 6 years ago
- EnKF in Matlab for a system of two PDEs modeling burglar behavior (model of Short et al.)☆13Mar 10, 2018Updated 7 years ago
- Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave☆15Nov 28, 2016Updated 9 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- Classification of ASD (autism spectrum disorder) vs TD (typically developing) children based on their scanpaths of image viewing [ICME201…☆14Nov 8, 2020Updated 5 years ago
- Combinational Class Activation Maps for Weakly Supervised Object Localization☆12Oct 25, 2020Updated 5 years ago
- A translation of J.M. Lilly's code for ridge and element analysis using generalized Morse wavelets into python☆13Apr 16, 2020Updated 5 years ago
- This is some work on option prcing and greeks calculation for dynamic hedge. These functions are numerical pricing methods employed to re…☆18Feb 3, 2021Updated 5 years ago
- This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT …☆15May 27, 2020Updated 5 years ago
- Keras (TensorFlow v2) reimplementation of Re-parameterized Large Kernel Network (RepLKNet)☆17Dec 8, 2022Updated 3 years ago
- A general graph manipulation python module☆16Jun 2, 2009Updated 16 years ago
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Jun 18, 2024Updated last year
- NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)☆11Jul 22, 2018Updated 7 years ago
- Hands On Reinforcement Learning with Python[Video], Published by Packt☆13Jan 14, 2021Updated 5 years ago
- Monte Carlo Simulation of the Ising Model in 2D☆15Dec 19, 2017Updated 8 years ago
- 基于MATLAB的直接序列扩频通信系统仿真☆14Apr 15, 2024Updated last year
- Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks☆14Aug 17, 2022Updated 3 years ago