sh4zkh4n Goto Github PK
Type: User
sh4zkh4n's Projects
notebooks-contrib
RAPIDS Community Notebooks
numba
NumPy aware dynamic Python compiler using LLVM
numba-examples
Example Numba implementations of functions
numba_tutorial_scipy2016
Numba tutorial materials for Scipy 2016
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
numpy-100
100 numpy exercises (with solutions)
numpy-tutorial
Numpy beginner tutorial
numpy-tutorial-scipyconf-2020
Numpy-Tutorial-SciPyConf-2020
nx_graph_utils
Tools for analyzing graphs aimed at connectome data
omero-example-scripts
Plugins for OMERO
pandas-and-numpy-tips-trick-and-techniques
Pandas and NumPy Tips, Trick, and Techniques [Video], published by Packt
parallel-tutorial
Parallel computing in Python tutorial materials
pc2graph
Python script that converts a 3D point cloud into a NetworkX graph.
physics-based-deep-learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
physics-connector
Physics 77/88 Connector repo
physics_based_learning
Learning for computational imaging system made simple.
pinns
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
point-cloud-registration
Implements the ICP (Iterative Closest Points) algorithm for registration of point clouds.
polya
Computational Geometry Sandbox. Graham's Scan, Jarvis's March, KD Tree, Nearest Neighbor
porespy
A set of tools for characterizing and analying 3D images of porous materials
porespy-examples
A gallery of examples and recipes for getting things done with PoreSpy
practical-python
Practical Python Programming (course by @dabeaz)
probabilistic-programming
Notebooks for probabilistic programming
prog4comp
Resources for the book "Programming for Computations" by S. Linge and H. P. Langtangen
programming-books
Books on programming and computer science
programming-for-scientists
Source Material for a course on Programming targeted at scientists
pumpsn17
Low-cost, High-performance Syringe Pumps for Microfluidics Applications
pycon-2019-tutorial
Data Science Best Practices with pandas
pycrafter4500
Python USB controller for the TI LCR4500EVM
pycrafter6500
A python controller for Texas Instruments DLPLCR6500EVM evaluation module for DLP technology. The controller can fully control the "pattern on the fly" mode with a user defined sequence of binary images. Requires pyusb and numpy. PIL or pillow is recommended for testing.
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