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.
☆63Updated 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
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆71Updated 5 years ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 9 months ago
- Neat Bayesian machine learning examples☆55Updated 3 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆82Updated 6 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year
- legend☆200Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆151Updated last year
- ☆148Updated 3 years ago
- A practical approach to learning machine learning.☆22Updated 6 years ago
- Bayesian Analysis with Python - Second Edition, published by Packt☆133Updated 4 years ago
- Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python☆15Updated 3 years ago
- ☆62Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated last year
- Enhancing Deep Learning with Bayesian Inference, published by Packt☆37Updated 6 months ago
- jupyter blog☆128Updated last year
- Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning☆21Updated 4 months ago
- Data science applied to problems in manufacturing (and some other ML stuff too).☆11Updated 3 years ago
- Bayesian Bandits☆68Updated last year
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆53Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 3 years ago
- PyTorch Implementations of a VAE and a beta-VAE.☆60Updated 4 years ago
- Bayesian Methods for Machine Learning☆64Updated 5 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆23Updated 4 years ago
- Implementation of normalizing flows from 1d to Nd☆33Updated 4 years ago
- This repo contains the notebooks that is used in Medium posts.☆24Updated 3 years ago
- ☆28Updated 3 years ago
- NYU Deep Learning Fall 2022☆58Updated 7 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆201Updated last year
- Materials for conference talks and workshops☆31Updated last year