eTuDpy's Stars
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
CamDavidsonPilon/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 ;)
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
LiyuanLucasLiu/RAdam
On the Variance of the Adaptive Learning Rate and Beyond
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
patrickloeber/pytorchTutorial
PyTorch Tutorials from my YouTube channel
oliverguhr/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
dehoyosb/temporal_fusion_transformer_pytorch
fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
Code-Bullet/Storm-The-House-Auto-Clicker
Lets click the shit out of storm the house
Stefan-Endres/shgo
Simplicial Homology Global Optimization
tilman151/rul-datasets
A collection of datasets for RUL estimation as Lightning Data Modules.
mUtterberg/python_morsels
My work for Python Morsels exercises
eTuDpy/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
eTuDpy/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.
NimaSarajpoor/nixtla
Automated ⚙️ time series forecasting.