mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlowLinks
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.
☆72Updated 4 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☆90Updated 7 years ago
- Bayesian Analysis with Python - Second Edition, published by Packt☆137Updated 4 years ago
- legend☆208Updated 2 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 6 years ago
- ☆63Updated 2 years ago
- ☆22Updated 2 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- ☆90Updated 2 years ago
- ☆42Updated 3 years ago
- Neat Bayesian machine learning examples☆58Updated last month
- Materials for conference talks and workshops☆32Updated 4 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- ☆151Updated 4 years ago
- jupyter blog☆131Updated 2 years ago
- Bayesian neural networks via MCMC: tutorial☆60Updated last year
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆53Updated 3 years ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆224Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆53Updated 3 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- An introduction to conformal prediction☆27Updated last year
- Implementation of Markov Chain Monte Carlo in Python from scratch☆226Updated 5 years ago
- Course material for 1RT700 Statistical Machine Learning☆64Updated 3 weeks ago
- This repository holds my paper implementations made for my studies and my content production☆38Updated last year
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆11Updated 3 years ago