ggo73

ggo73's Stars

• MTG/essentia

  C++ library for audio and music analysis, description and synthesis, including Python bindings

  Language:C++2.9k538

• cslotboom/hysteresis

  Data analysis tools for nonfunctional curves.

  Language:Python7017

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.4k6.4k

• aresio/miniful

  A minimal fuzzy library

  Language:Python31

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.3k476

• micheletizzoni/covid-19

  A collection of work related to COVID-19

  Language:Jupyter Notebook81

• transatlantic-comppsych/sklearn-lmer

  Scikit-learn estimator wrappers for pymer4 wrapped LME4 mixed effects models

  Language:Python101

• QuantEcon/lecture-python.notebooks

  Notebooks for https://python.quantecon.org

  Language:Jupyter Notebook237142

• ilguyi/optimizers.numpy

  Language:Jupyter Notebook6223

• adityatb/noise-reduction-using-rnn

  Implements python programs to train and test a Recurrent Neural Network with Tensorflow

  Language:Python7125

• erdogant/bnlearn

  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

  Language:Jupyter Notebook49247

• BayesWitnesses/m2cgen

  Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

  Language:Python2.8k240

• parrt/dtreeviz

  A python library for decision tree visualization and model interpretation.

  Language:Jupyter Notebook3k337

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• doandongnguyen/FQL-Fuzzy-Q-Learning

  Fuzzy Q-Learning Algorithm

  Language:Python191

• SigmaQuan/NTM-Keras

  An attempt at replicating "Neural Turing Machines" in Keras.

  Language:Python3411

• flomlo/ntm_keras

  An implementation of the Neural Turing Machine as a keras recurrent layer.

  Language:Python13930

• farismismar/Q-Learning-Power-Control

  Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Transactions on Communications, vol. 67, no. 10, Oct. 2019, pp. 7152-7167, DOI 10.1109/TCOMM.2019.2926715.

  Language:Python4528

• curv3d/curv

  a language for making art using mathematics

  Language:C++1.1k73

• inuritdino/HiguchiFractalDimension

  Higuchi Fractal Dimension (HFD) for 1D(time) series

  Language:Python4718

• TUIlmenauAMS/FilterBanks_FastPythonImplementation

  Filter Banks, Fast Python Implementation

  Language:Python4112

• rgleichman/glance

  A visual Haskell

  Language:Haskell72115

• jagenjo/litegraph.js

  A graph node engine and editor written in Javascript similar to PD or UDK Blueprints, comes with its own editor in HTML5 Canvas2D. The engine can run client side or server side using Node. It allows to export graphs as JSONs to be included in applications independently.

  Language:JavaScript7k726

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.6k5.9k

• cair/pyTsetlinMachineParallel

  Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

  Language:C4010

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k227

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook6k1.7k

• Xtra-Computing/thundergbm

  ThunderGBM: Fast GBDTs and Random Forests on GPUs

  Language:C++69588

• Project-Platypus/Platypus

  A Free and Open Source Python Library for Multiobjective Optimization

  Language:Python580152

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.6k