Lists (1)
Sort Name ascending (A-Z)
Stars
Reinforcement learning environments for process control applications.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A python library for user-friendly forecasting and anomaly detection on time series.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Investment Research for Everyone, Everywhere.
Simple and powerful factories for mock data generation
Python implementations of the Boruta all-relevant feature selection method.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Python-centered read-along of Forecasting: Principles and Practice
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
Deep universal probabilistic programming with Python and PyTorch
Python interactive dashboards for learning data science
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
The Book of Statistical Proofs
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and u…
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you…
KAN Architecture for Image Classification
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
A Python implementation of active inference for Markov Decision Processes
A code generator for array-based code on CPUs and GPUs
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.