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OpenBB

Investment Research for Everyone, Everywhere.

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polyfactory

Simple and powerful factories for mock data generation

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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

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fast-kan

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

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pyro

Deep universal probabilistic programming with Python and PyTorch

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DataScienceInteractivePython

Python interactive dashboards for learning data science

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gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

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StatProofBook.github.io

The Book of Statistical Proofs

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probability

Intro to probability book

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pymor

pyMOR - Model Order Reduction with Python

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zfit

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 user friendly experience.

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optimagic

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 don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.

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kan_classification

KAN Architecture for Image Classification

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open-source-mac-os-apps

🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps

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PyAutoFit

PyAutoFit: Classy Probabilistic Programming

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pymdp

A Python implementation of active inference for Markov Decision Processes

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scikit-fda

Functional Data Analysis Python package

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loopy

A code generator for array-based code on CPUs and GPUs

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python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

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pyPESTO

python Parameter EStimation TOolbox

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Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

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EC-A-Modern-Perspective

Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).

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nengo-gui

Nengo interactive visualizer

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thinc

đź”® A refreshing functional take on deep learning, compatible with your favorite libraries

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reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

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hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

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pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]

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python-constraint

Constraint Solving Problem resolver for Python

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