ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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WillianFuks/tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Language: Python - Size: 8.1 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 636 - Forks: 74

a-ws-m/unlockNN

A Python package for adding uncertainties to neural network models of chemical systems.

Language: PureBasic - Size: 128 MB - Last synced at: about 11 hours ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 7

fomorians-oss/pyoneer

Tensor utilities, reinforcement learning, and more!

Language: Python - Size: 512 KB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 2

MArpogaus/bernstein_flow

A normalizing flow using Bernstein polynomials for conditional density estimation.

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mohd-faizy/Probabilistic-Deep-Learning-with-TensorFlow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

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JBris/sbi-epidemiology

Simulation based inference for epidemiology

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DamingoNdiwa/hydrological-model-selection-bayes

This repository contains supporting code for the paper "Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo" by Mingo et al.

Language: Python - Size: 5.74 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nicenustian/bh2igm

This code finds an optimal architecture, search for hyperparameters (using OPTUNA code), trains and make predictions using LYMAN alpha part of simulated 1D super massive black hole spectra and converts it to intergalactic medium gas conditions along the line of sight. However, this code easily be utilized for ANY 1D signals using supervised ML.

Language: Python - Size: 23.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

KarenUllrich/binary-VAE

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

Language: Python - Size: 35.2 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 3

akensert/reinforceable

Deep reinforcement learning implementations with TensorFlow and TensorFlow probability.

Language: Python - Size: 114 KB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

DamingoNdiwa/BayesianODE-PriorImpactAssessment

This repository has code for the paper Bayesian prior impact assessment for dynamical systems described by ordinary differential equations

Language: Python - Size: 13.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Himscipy/bnn_hvd

Distributed Training of Bayesian Neural Networks at Scale

Language: Python - Size: 198 MB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 6

zhulingchen/tfp-tutorial

TensorFlow Probability Tutorial

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aaryapatel007/Patient-Selection-for-Diabetes-Drug-Testing

Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.

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Samulix20/BNN_RISC-V

Optimized Bayesian Neural Network C library for integer only inference in embedded RISC-V Cores

Language: C - Size: 101 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kristpapadopoulos/neural-processes

Keras, Tensorflow eager execution implementation of Neural Processes

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kristpapadopoulos/categorical-variational-autoencoder

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

Language: Python - Size: 91.8 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

siddhantpathakk/tensorflow-ml

TensorFlow ML - an abstract implementation of commonly used machine learning algorithms using TensorFlow. Feel free to contribute! (Work in Progress)

Language: Python - Size: 3.08 MB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0

marta-0/diabetes_drug_trial Fork of udacity/nd320-c1-emr-data-starter

Patient Selection for Diabetes Drug Trial is part of the AI for Healthcare nanodegree program from Udacity.

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mdziezyc/ElVaccPL2020

COVID-19 vaccinations in communities vs Polish presidential ellections results 2020. It also includes aleatoric and epistemic uncertainty modeling using Tensorflow Probability.

Language: Python - Size: 30.1 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

uPeppe/fantabeto

Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.

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TheUnsolvedDev/ProbabilisticMadness

Statistics and Machine Learning in depth analysis with Tensorflow Probability

Language: Python - Size: 80 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

abhimanyu911/bayesian_sdss

A Bayesian CNN approach to SDSS image data classfication

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itsayushthada/Probabislitc-Deep-Learning

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.

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jilljenn/vae

Variational Factorization Machines in TensorFlow and PyTorch

Language: Python - Size: 311 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

tr7200/CBNN_SEM_loss_convergence

Code accompanying my 2021 ASA SDSS paper

Language: Python - Size: 665 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

Ellie190/BCNN-for-Ocular-Disease-Classification

A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty

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Frightera/Medium_Notebooks_English

This repo contains the notebooks that is used in Medium posts.

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Luca96/reinforce-lib

Reinforce-lib is a easy to use, simple to extend reinforcement learning library for Python: https://pos.sissa.it/415/018/pdf.

Language: Python - Size: 1.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

slowmoyang/BayesianDeepLearning

Language: Jupyter Notebook - Size: 49.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 3

chiru1221/final_task2020

Task in belong laboratory (related: https://github.com/chiru1221/LabStudyTask2020)

Language: Python - Size: 5.86 KB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

jetnew/Simkit

A generalized framework for generative and probabilistic modelling for training reinforcement learning agents in TensorFlow 2.

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aliizadi/probabilistic-programming-workshop

All codes and contents provided for the probabilistic programming workshop in Amirkabir Artificial Intelligence Student Summit (2021)

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danftang/MutableCategoricalDistribution

A categorical distribution with efficient sampling and modification of category probabilities

Language: C++ - Size: 394 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

hosford42/TensorFlowUtilities

Assorted useful tensorflow functions and keras layers

Language: Python - Size: 130 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

slowmoyang/bayesian-deep-learning

Language: Python - Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

MarcoRiggirello/diglm

Deep Invertible Generalized Linear Model implemented on top of tensorflow_probability

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wataruhashimoto52/nmf_tfp

Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability

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gtancev/Bayesian-Machine-Learning

Markov chain Monte Carlo and variational inference.

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yoonholee/edward2-notebooks

Jupyter Notebooks that show the basic functionalities of edward2

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SamArgt/AudioSourceSep

Statistics MSc Project (2020): Audio Source Separation

Language: Python - Size: 2.12 GB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

suriyadeepan/PracticalBayes

Probabilistic programming, Bayesian Thinking, Bayesian Data Analysis and Applications

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OpenSUTD/ProbStats-with-TFP

Prob&Stats with TensorFlow Probability

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