Topic: tensorflow-probability Goto Github
Some thing interesting about tensorflow-probability
Some thing interesting about tensorflow-probability
tensorflow-probability,A Python package for adding uncertainties to neural network models of chemical systems.
User: a-ws-m
tensorflow-probability,Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.
User: aaryapatel007
tensorflow-probability,A Bayesian CNN approach to SDSS image data classification
User: abhimanyu911
tensorflow-probability,Deep reinforcement learning implementations with TensorFlow and TensorFlow probability.
User: akensert
tensorflow-probability,All codes and contents provided for the probabilistic programming workshop in Amirkabir Artificial Intelligence Student Summit (2021)
User: aliizadi
tensorflow-probability,Task in belong laboratory (related: https://github.com/chiru1221/LabStudyTask2020)
User: chiru1221
tensorflow-probability,Implementing a bayesian neural network in TensorFlow
User: csamuelsson
tensorflow-probability,This repository has code for the paper Bayesian prior impact assessment for dynamical systems described by ordinary differential equations
User: damingondiwa
tensorflow-probability,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.
User: damingondiwa
tensorflow-probability,A categorical distribution with efficient sampling and modification of category probabilities
User: danftang
tensorflow-probability,A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty
User: ellie190
tensorflow-probability,Tensor utilities, reinforcement learning, and more!
Organization: fomorians-oss
Home Page: https://pypi.org/project/fomoro-pyoneer/
tensorflow-probability,This repo contains the notebooks that is used in Medium posts.
User: frightera
tensorflow-probability,Markov chain Monte Carlo and variational inference.
User: gtancev
tensorflow-probability,Distributed Training of Bayesian Neural Networks at Scale
User: himscipy
tensorflow-probability,Assorted useful tensorflow functions and keras layers
User: hosford42
tensorflow-probability,Clustered Gaussian Process Regression in TFP
User: hpandana
tensorflow-probability,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.
User: itsayushthada
tensorflow-probability,A generalized framework for generative and probabilistic modelling for training reinforcement learning agents in TensorFlow 2.
User: jetnew
tensorflow-probability,Variational Factorization Machines in TensorFlow and PyTorch
User: jilljenn
tensorflow-probability,A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
User: karenullrich
tensorflow-probability,Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
User: kristpapadopoulos
tensorflow-probability,Keras, Tensorflow eager execution implementation of Neural Processes
User: kristpapadopoulos
tensorflow-probability,Statistical Rethinking (2nd Ed) with Tensorflow Probability
User: ksachdeva
Home Page: https://ksachdeva.github.io/rethinking-tensorflow-probability/
tensorflow-probability,Reinforce-lib is a easy to use, simple to extend reinforcement learning library for Python: https://pos.sissa.it/415/018/pdf.
User: luca96
tensorflow-probability,Deep Invertible Generalized Linear Model implemented on top of tensorflow_probability
User: marcoriggirello
Home Page: https://diglm.readthedocs.io/en/latest/index.html
tensorflow-probability,A normalizing flow using Bernstein polynomials for conditional density estimation.
User: marpogaus
Home Page: https://marpogaus.github.io/bernstein_flow/
tensorflow-probability,COVID-19 vaccinations in communities vs Polish presidential ellections results 2020. It also includes aleatoric and epistemic uncertainty modeling using Tensorflow Probability.
User: mdziezyc
tensorflow-probability,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.
User: mohd-faizy
tensorflow-probability,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.
User: nicenustian
tensorflow-probability,Prob&Stats with TensorFlow Probability
Organization: opensutd
Home Page: https://colab.research.google.com/github/OpenSUTD/ProbStats-with-TFP/
tensorflow-probability,Statistics MSc Project (2020): Audio Source Separation
User: samargt
tensorflow-probability,Optimized Bayesian Neural Network C library for integer only inference in embedded RISC-V Cores
User: samulix20
tensorflow-probability,TensorFlow ML - an abstract implementation of commonly used machine learning algorithms using TensorFlow. Feel free to contribute! (Work in Progress)
User: siddhantpathakk
Home Page: https://siddhantpathakk.github.io/tensorflow-ml/
tensorflow-probability,Probabilistic programming, Bayesian Thinking, Bayesian Data Analysis and Applications
User: suriyadeepan
tensorflow-probability,Statistics and Machine Learning in depth analysis with Tensorflow Probability
User: theunsolveddev
tensorflow-probability,
User: toddmish
tensorflow-probability,Code accompanying my 2021 ASA SDSS paper
User: tr7200
Home Page: https://arxiv.org/abs/2008.13038
tensorflow-probability,Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
User: upeppe
tensorflow-probability,Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability
User: wataruhashimoto52
tensorflow-probability,Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
User: willianfuks
tensorflow-probability,Jupyter Notebooks that show the basic functionalities of edward2
User: yoonholee
tensorflow-probability,TensorFlow Probability Tutorial
User: zhulingchen
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