Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+39.56%)
Signals And Systems LectureContinuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
Stars: ✭ 166 (-39.19%)
TftbA Python module for time-frequency analysis
Stars: ✭ 185 (-32.23%)
CNCC-2019Computational Neuroscience Crash Course (CNCC 2019)
Stars: ✭ 26 (-90.48%)
Dsp TheoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Stars: ✭ 437 (+60.07%)
Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (-47.99%)
PycroscopyScientific analysis of nanoscale materials imaging data
Stars: ✭ 144 (-47.25%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+704.76%)
Simfin TutorialsTutorials for SimFin - Simple financial data for Python
Stars: ✭ 150 (-45.05%)
IpystataEnables the use of Stata together with Python via Jupyter (IPython) notebooks.
Stars: ✭ 154 (-43.59%)
Image kerasBuilding an image classifier using keras
Stars: ✭ 162 (-40.66%)
QbstylesQuantumBlack Matplotlib styles
Stars: ✭ 166 (-39.19%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-25.27%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (-23.81%)
Psi4numpyCombining Psi4 and Numpy for education and development.
Stars: ✭ 170 (-37.73%)
Best Of Jupyter🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Stars: ✭ 200 (-26.74%)
BeakerxBeaker Extensions for Jupyter Notebook
Stars: ✭ 2,594 (+850.18%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-47.99%)
IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
Stars: ✭ 152 (-44.32%)
GeopythonNotebooks and libraries for spatial/geo Python explorations
Stars: ✭ 268 (-1.83%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (-43.22%)
Oreilly Intro To Predictive ClvRepo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017
Stars: ✭ 153 (-43.96%)
jupyter boilerplateAdds a customizable menu item to Jupyter (IPython) notebooks to insert boilerplate snippets of code
Stars: ✭ 69 (-74.73%)
susaHigh Performance Computing (HPC) and Signal Processing Framework
Stars: ✭ 55 (-79.85%)
MachinelearningnotebooksPython notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Stars: ✭ 2,790 (+921.98%)
NbinteractCreate interactive webpages from Jupyter Notebooks
Stars: ✭ 189 (-30.77%)
WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (-23.81%)
Notebook📒 notebook
Stars: ✭ 177 (-35.16%)
PaperboyA web frontend for scheduling Jupyter notebook reports
Stars: ✭ 221 (-19.05%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (-19.41%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-16.12%)
DlaDeep learning for audio processing
Stars: ✭ 142 (-47.99%)
oouraJavascript port of Ooura FFT implementation
Stars: ✭ 23 (-91.58%)
anestheticNested Sampling post-processing and plotting
Stars: ✭ 34 (-87.55%)
scipy-crash-courseMaterial for a 24 hours course on Scientific Python
Stars: ✭ 98 (-64.1%)
ContextilyContext geo-tiles in Python
Stars: ✭ 254 (-6.96%)
CCWTComplex Continuous Wavelet Transform
Stars: ✭ 136 (-50.18%)
computer-vision-notebooks👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
Stars: ✭ 89 (-67.4%)
mdctA fast MDCT implementation using SciPy and FFTs
Stars: ✭ 42 (-84.62%)
Scipy-Bordeaux-2017Course taught at the University of Bordeaux in the academic year 2017 for PhD students.
Stars: ✭ 16 (-94.14%)
dsp-theoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Stars: ✭ 643 (+135.53%)
vor-python-decoderDecodes VOR signal from WAV file to get the bearing to your position
Stars: ✭ 33 (-87.91%)
DTMF-DecoderA Java program to implement a DMTF Decoder.
Stars: ✭ 28 (-89.74%)