All Projects → Bayesian Machine Learning → Similar Projects or Alternatives

6147 Open source projects that are alternatives of or similar to Bayesian Machine Learning

Pysot
Surrogate Optimization Toolbox for Python
Stars: ✭ 136 (-88.69%)
Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Stars: ✭ 1,357 (+12.9%)
GPim
Gaussian processes and Bayesian optimization for images and hyperspectral data
Stars: ✭ 29 (-97.59%)
Rethinking Pyro
Statistical Rethinking with PyTorch and Pyro
Stars: ✭ 116 (-90.35%)
Limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
Stars: ✭ 157 (-86.94%)
Bayesian Optimization
Python code for bayesian optimization using Gaussian processes
Stars: ✭ 245 (-79.62%)
Gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (-91.18%)
Nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Stars: ✭ 120 (-90.02%)
Generative models tutorial with demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (-77.04%)
pyrff
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Stars: ✭ 24 (-98%)
Vae cf
Variational autoencoders for collaborative filtering
Stars: ✭ 386 (-67.89%)
Bayesian Analysis Recipes
A collection of Bayesian data analysis recipes using PyMC3
Stars: ✭ 479 (-60.15%)
Probability
Probabilistic reasoning and statistical analysis in TensorFlow
Stars: ✭ 3,550 (+195.34%)
Vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
Stars: ✭ 148 (-87.69%)
Deep Learning With Python
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-88.85%)
Edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+288.85%)
Variational Autoencoder
PyTorch implementation of "Auto-Encoding Variational Bayes"
Stars: ✭ 25 (-97.92%)
Bayesian Cognitive Modeling In Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Stars: ✭ 93 (-92.26%)
Deepbayes
Bayesian methods in deep learning Summer School
Stars: ✭ 15 (-98.75%)
Lstm anomaly thesis
Anomaly detection for temporal data using LSTMs
Stars: ✭ 178 (-85.19%)
Pytorch Vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Stars: ✭ 181 (-84.94%)
hyper-engine
Python library for Bayesian hyper-parameters optimization
Stars: ✭ 80 (-93.34%)
approxposterior
A Python package for approximate Bayesian inference and optimization using Gaussian processes
Stars: ✭ 36 (-97%)
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 ;)
Stars: ✭ 23,912 (+1889.35%)
Bayesianoptimization
A Python implementation of global optimization with gaussian processes.
Stars: ✭ 5,611 (+366.81%)
Normalizing Flows
Understanding normalizing flows
Stars: ✭ 126 (-89.52%)
Da Tutorials
Course on data assimilation (DA)
Stars: ✭ 43 (-96.42%)
Hyperparameter Optimization Of Machine Learning Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: ✭ 516 (-57.07%)
Cornell Moe
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Stars: ✭ 198 (-83.53%)
Pymc3 vs pystan
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
Stars: ✭ 110 (-90.85%)
mango
Parallel Hyperparameter Tuning in Python
Stars: ✭ 241 (-79.95%)
Vae Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Stars: ✭ 117 (-90.27%)
Edward2
A simple probabilistic programming language.
Stars: ✭ 419 (-65.14%)
Ts Emo
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Stars: ✭ 39 (-96.76%)
Vae protein function
Protein function prediction using a variational autoencoder
Stars: ✭ 57 (-95.26%)
Toxic Comment Classification
Code and write-up for the Kaggle Toxic Comment Classification Challenge
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Python Tutorials
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Swae
Implementation of the Sliced Wasserstein Autoencoders
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Tf Eager Examples
A set of simple examples ported from PyTorch for Tensorflow Eager Execution
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Pythondata
python数据分析代码资料
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Eigenvectors From Eigenvalues
PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Preprocessing For Deep Learning
This is the notebook associated with the blog post:
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Trajectron
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Dl Visualization
This is the source code for the animations in the series "Visualizing Deep Learning"
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Ml Webinar
Machine Learning with sklearn tutorials (for Pearson)
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Urbanregionfunctionclassification
第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Nipype tutorial
Learn Nipype with these tutorial notebooks - go here to see them online -->
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Machine Learning For Beginners
Start writing machine learning code in just 10 hours
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Ml2021 Spring
李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring
Stars: ✭ 69 (-94.26%)
Mutual labels:  jupyter-notebook
Weibosentiment
基于各种机器学习和深度学习的中文微博情感分析
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Practicalsessions2019
Materials for the practical sessions at EEML2019
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Okfn.github.com
Open Knowledge Labs website (and general issue tracker).
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Computer vision project
计算机视觉项目实战
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Piaic islamabad batch3
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Understaing Datasets Estimators Tfrecords
Try to use tf.estimator and tf.data together to train a cnn model.
Stars: ✭ 76 (-93.68%)
Mutual labels:  jupyter-notebook
Docker Demo Images
Demo images for use in try.jupyter.org and tmpnb.org
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Deetctionupperbound
Code for calculating the upper bound AP in object detection
Stars: ✭ 74 (-93.84%)
Mutual labels:  jupyter-notebook
Smartnoise Samples
Code samples and documentation for SmartNoise differential privacy tools
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
Age Gender Estimation
Keras implementation of a CNN network for age and gender estimation
Stars: ✭ 1,195 (-0.58%)
Mutual labels:  jupyter-notebook
Covid 19
Data analysis and visualizations of daily COVID cases report
Stars: ✭ 75 (-93.76%)
Mutual labels:  jupyter-notebook
1-60 of 6147 similar projects