eTuDpy

rul-datasets

A collection of datasets for RUL estimation as Lightning Data Modules.

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

nixtla

Automated ⚙️ time series forecasting.

temporal_fusion_transformer_pytorch

Storm-The-House-Auto-Clicker

Lets click the shit out of storm the house

python_morsels

My work for Python Morsels exercises

pytorchTutorial

PyTorch Tutorials from my YouTube channel

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

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 ;)

uncertainty-metrics

Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

shgo

Simplicial Homology Global Optimization