Seminars DeepBayes Summer School 2018
☆1,045Aug 24, 2019Updated 6 years ago
Alternatives and similar repositories for deepbayes-2018
Users that are interested in deepbayes-2018 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Practical assignments of the Deep|Bayes summer school 2019☆833May 20, 2020Updated 6 years ago
- a repo sharing Bayesian Neural Network recent papers☆217Aug 9, 2019Updated 6 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,028Jul 10, 2026Updated 2 weeks ago
- ☆66Nov 7, 2017Updated 8 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated 2 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,423Jul 7, 2026Updated 3 weeks ago
- Statistical Learning Theory (CS229T) Lecture Notes☆724Nov 10, 2019Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,217Dec 17, 2022Updated 3 years ago
- Lecture notes on Bayesian deep learning☆487Feb 11, 2018Updated 8 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PRML algorithms implemented in Python☆11,717Apr 5, 2025Updated last year
- My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义…☆10,022Jul 8, 2026Updated 3 weeks ago
- Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"☆5,079Jan 31, 2023Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,732Aug 9, 2024Updated last year
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,495Mar 24, 2024Updated 2 years ago
- Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"☆3,184Jul 23, 2024Updated 2 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 7 years ago
- Here we will to store papers from bayesgroup.ru☆11Dec 15, 2016Updated 9 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,573Apr 19, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,901Jul 10, 2026Updated 2 weeks ago
- A course in reinforcement learning in the wild☆6,549Mar 31, 2026Updated 3 months ago
- Collection of probabilistic models and inference algorithms☆240Apr 3, 2020Updated 6 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆2,007Jun 24, 2025Updated last year
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,086Jul 13, 2023Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,022Jan 19, 2021Updated 5 years ago
- Bayesian optimization in PyTorch☆3,576Jul 21, 2026Updated last week
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,609Feb 1, 2026Updated 5 months ago
- Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained☆4,542Jul 1, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893May 12, 2024Updated 2 years ago
- A curated list of resources dedicated to bayesian deep learning☆416May 10, 2017Updated 9 years ago
- ☆260Aug 14, 2019Updated 6 years ago
- This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to …☆8,899Jun 25, 2019Updated 7 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,185Jun 25, 2024Updated 2 years ago
- Summaries and notes on Deep Learning research papers☆4,420Feb 13, 2018Updated 8 years ago
- The Hitchiker's Guide to PyTorch☆1,199Sep 13, 2021Updated 4 years ago