ChouChouGrizzly

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.

i-hate-regex

The code for iHateregex.io 😈 - The Regex Cheat Sheet

emacs.d

configurations

XQuartz

An X11 server and client libraries for macOS

comp345

Create a game with C++

ADT_Algo_Exercises

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

ARIA-tools

Tools for exploiting ARIA standard products

gdal

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

rasterio

Rasterio reads and writes geospatial raster datasets

PROJ

PROJ - Cartographic Projections and Coordinate Transformations Library

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

dotfiles

🔧 macOS dotfiles

scipy2018-geospatial-data

remote-sensing-with-python

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

neurolab

MachineLearningReimplementations

Just trying to reimplement machine learning techniques like linear regression, neural nets, logistic regression, etc in Python

For_shared_codes

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.

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.

deep-learning-foundations

Deep learning concepts from neural networks in pure Python/Numpy to generative adversarial networks in Tensorflow.

tensorflow

An Open Source Machine Learning Framework for Everyone

pyrenn

A Recurrent Neural Network Toolbox for Python and Matlab

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.

LM

A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training

dlaicourse

Notebooks for learning deep learning

t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis