cedvogt

madi

GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

azure-docs

Open source documentation of Microsoft Azure

openai-cookbook

Examples and guides for using the OpenAI API

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

xPINNs

when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346

PgDMM

Physics-guided Deep Markov Models

PINN

A Physics Informed Neural Network Implementation for Burgers Equation in Tensorflow 2.0

TyXe

stat_rethinking_2022

Statistical Rethinking course winter 2022

pyro

Deep universal probabilistic programming with Python and PyTorch

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

anomaly_detection

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠