ChouChouGrizzly's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
lmoroney/dlaicourse
Notebooks for learning deep learning
OSGeo/gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
geongeorge/i-hate-regex
The code for iHateregex.io 😈 - The Regex Cheat Sheet
rasterio/rasterio
Rasterio reads and writes geospatial raster datasets
OSGeo/PROJ
PROJ - Cartographic Projections and Coordinate Transformations Library
lmfit/lmfit-py
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
XQuartz/XQuartz
An X11 server and client libraries for macOS
itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
geopandas/scipy2018-geospatial-data
sarasafavi/remote-sensing-with-python
yabata/pyrenn
A Recurrent Neural Network Toolbox for Python and Matlab
aria-tools/ARIA-tools
Tools for exploiting ARIA standard products
charlesdobson/dotfiles
🔧 macOS dotfiles
ItsWajdy/LM
A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training
adeshpande3/MachineLearningReimplementations
Just trying to reimplement machine learning techniques like linear regression, neural nets, logistic regression, etc in Python
jswanglp/Levenberg-Marquardt-algorithm
梯度下降与Levenberg-Marquardt算法的比较。Comparison of gradient descent and Levenberg–Marquardt algorithm. Сравнение алгоритма градиентного спуска и алгоритма Левенберга-Марквардта.
Ageliss/For_shared_codes
omtinez/neurolab
anthony-chaudhary/deep-learning-foundations
Deep learning concepts from neural networks in pure Python/Numpy to generative adversarial networks in Tensorflow.
PhilippeCarphin/configurations
40067259/comp345
Create a game with C++
jinchen-hu/ADT_Algo_Exercises
PhilippeCarphin/emacs.d
zakimadaoui/Deep_neural_networks_utilities
this is a small Deep neural networks utilities written in pure python and numpy, it allows you to write different kindes of deep neural networks with fewer lines of code.