nbudini

nbudini's Stars

• brendanartley/Medium-Article-Code

  Random code for medium articles.

  Language:Jupyter Notebook2616

• laiguokun/multivariate-time-series-data

  707163

• bsantanad/time-series

  notes from time series forecasting by Marco Peixeiro

  Language:Jupyter Notebook2

• SeyedMuhammadHosseinMousavi/Basic-Machine-Learning-with-Python

  Classification, Clustering, and Regression with Scikit-Learn and Spyder

  Language:Python3

• smousavi05/Machine_Learning_A-Z

  Learning to create Machine Learning Algorithms

  Language:Python42

• smousavi05/Unsupervised_Deep_Learning

  Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

  Language:Jupyter Notebook5915

• Shigangli/DeepLearningExamples

  Deep Learning Examples

  Language:Python1

• Shigangli/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook1

• Shigangli/tf-models

  Models and examples built with TensorFlow

  Language:Python1

• Shigangli/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials

  1

• xinychen/visual-spatial-data

  Visualizing spatial data with Python (Python空间数据可视化).

  Language:Jupyter Notebook61

• xinychen/mob4cast

  Multidimensional time series prediction with passenger/taxi flow data sets.

  Language:Jupyter Notebook72

• xinychen/fluid-forecasting

  Forecasting fluid dynamics with temporal matrix factorization in the presence of missing values.

  2

• xinychen/vars

  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'23)

  Language:Jupyter Notebook161

• xinychen/tracebase

  Nonstationary temporal matrix factorization for sparse traffic time series forecasting.

  Language:Jupyter Notebook4510

• xinychen/climate-tensor

  Spatiotemporal climate variable data and their visualization.

  4

• catrujilla/pyDHM

  A Python library to numerically recover the complex wavefield information of samples from Digital Holographic Microscopy (DHM) recordings. Phase compensation, phase-shifting methods, and numerical propagators for different configurations and types of recordings in DHM are provided.

  Language:Python173

• markusbuchholz/Simulation_of_Chaotic_Oscillations_in_cpp

  Language:C++32