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.
☆65Updated 5 months ago
Alternatives and similar repositories for Probabilistic-Deep-Learning-with-TensorFlow
Users that are interested in Probabilistic-Deep-Learning-with-TensorFlow are comparing it to the libraries listed below
Sorting:
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 5 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Bayesian Bandits☆68Updated last year
- Bayesian Methods for Machine Learning☆64Updated 5 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆115Updated last year
- ☆62Updated 2 years ago
- Neat Bayesian machine learning examples☆56Updated 3 months ago
- Benchmark time series data sets for PyTorch☆35Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year
- legend☆200Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 10 months ago
- Bayesian Analysis with Python - Second Edition, published by Packt☆133Updated 4 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆23Updated 4 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆155Updated last year
- Supporting material for Princeton ORF522☆13Updated 5 months ago
- Bayesian Statistics MOOC by Coursera - Solutions in Python☆31Updated last year
- Enhancing Deep Learning with Bayesian Inference, published by Packt☆37Updated 7 months ago
- Materials for conference talks and workshops☆31Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆178Updated 2 years ago
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆48Updated 2 years ago
- ☆18Updated 2 years ago
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆16Updated 3 years ago
- Introduction to Gaussian Processes☆29Updated 6 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆53Updated 2 years ago
- ☆42Updated 2 years ago
- ☆49Updated 5 months ago
- ☆17Updated 3 years ago