記事 2013/10/03 2013/10/03 2011/08/31 2005/10/26 2005/10/26
リポジトリ 2018/10/10

High Performance Computation for Tensor in .NET, keep APIs same as NumPy and SciPy. 2018/05/15

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning) 2017/05/24

Essential Cheat Sheets for deep learning and machine learning researchers 2017/02/27

Open Machine Learning Course 2016/12/29

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy 2016/11/01

NumPy-like API accelerated with CUDA 2016/08/13

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm 2016/05/05

Human-detection-and-Tracking 2016/03/20

Sequential model-based optimization with a `scipy.optimize` interface 2016/02/17

simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work 2015/10/08

中文 Python 笔记 2015/03/06

:angel: Morph faces with Python, Numpy, Scipy 2015/03/04

Scikit-Learn tutorial material for Scipy 2015 2015/01/23

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. 2013/06/26

Anatomy of Matplotlib -- tutorial developed for the SciPy conference 2013/02/22

🍊 :bar_chart: :bulb: Orange: Interactive data analysis 2012/10/20

Python library for audio and music analysis 2011/04/19

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib). 2011/03/09

Scipy library main repository 2010/05/19

Tutorial material on the scientific Python ecosystem

動画 2019/07/13

In the past year, we have seen a remarkable number of breakthroughs in the field of natural language processing, including huge leaps forward in classifying, ... 2018/11/15 2018/07/26

This tutorial aims to provide an introduction to machine learning and scikit-learn "from the ground up". We will start with core concepts of machine learning, some ... 2018/07/17

A friendly introduction to Deep Learning, taught at the beginner level. We'll work through introductory exercises across several domains - including computer ... 2018/07/12

NumPy provides Python with a powerful array processing library and an elegant syntax that is well suited to expressing computational algorithms clearly and ... 2017/08/05

There are audio issues with this video that cannot be fixed. We recommend listening to the tutorial without headphones to minimize the buzzing sound. Tutorial ... 2017/08/04

There are audio issues with this video that cannot be fixed. We recommend listening to the tutorial without headphones to minimize the buzzing sound. Tutorial ... 2017/06/14 2016/12/23 2016/10/15

Scipy.Optimize.Minimize is demonstrated for solving a nonlinear objective function subject to general inequality and equality constraints. Source code is ... 2016/06/27

See for a more recent video on Python 3.6 with NumPy, SciPy, and Matplotlib. This tutorial covers how to download and install ... 2013/08/09

This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory ...

参考書 2018/11/10 2015/12/01 2012/11/25 2012/08/25

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