bayesian-thinking Goto Github PK
Type: Organization
bayesian-thinking's Projects
adversarial_gmm
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
autoencoder_explained
This is the code for "Autoencoder Explained" by Siraj Raval on Youtube
autoencoders
Torch implementations of various types of autoencoders
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
bayes-nn
Lecture notes on Bayesian deep learning
bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
bayesian-modelling-in-python
A python tutorial on bayesian modeling techniques (PyMC3)
bayesianlearning
Bayesian Machine Learning
ctv-timeseries
git mirror of CRAN Task View Time Series files
cvae
Conditional variational autoencoder implementation in Torch
dagmm
A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
dagmm-1
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
data-science-your-way
Ways of doing Data Science Engineering and Machine Learning in R and Python
dpmm
Dirichlet Process Mixture Models
em-gaussian
Python code for Expectation-Maximization estimate of Gaussian mixture model
gaussian_mixture_models
This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
gmvae
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
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
gpclust
Clustering time series using Gaussian processes and Variational Bayes.
gsoc17-hhmm
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
k_means_clustering
This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
notes-on-dirichlet-processes
:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
personalizedmultitasklearning
Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
simple-variational-autoencoder
A VAE written entirely in Numpy/Cupy
teaching-stan-hierarchical-modelling
Jupyter notebooks for teaching hierarchical Bayesian modelling with Stan
tf-dagmm
Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018
vae-torch
Implementation of Variational Auto-Encoder in Torch7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.