Numpy

There is an inherent tradeoff between Prediction Accuracy and Model Interpretability, that is to say that as the model get more flexible in the way the function (f) is selected, they get obscured, and are hard to interpret. Flexible methods are better for inference, and inflexible methods are preferable for prediction.

Pandas

Offers data structures and operations for manipulating numerical tables and time series

Matplotlib

https://www.matplotlib.org.cn/

Scikit-Learn

It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Tensorflow

tensorflowtoolkithierachy.png

TensorFlow是一个开源软件库，用于各种感知和语言理解任务的机器学习。目前被50个团队用于研究和生产许多Google商业产品如语音识别、Gmail、Google 相册和搜索，其中许多产品曾使用过其前任软件DistBelief。
TensorFlow最初由谷歌大脑团队开发，用于Google的研究和生产，于2015年11月9日在Apache 2.0开源许可证下发布。

MXNet

Is an modern open-source deep learning framework used to train, and deploy deep neural networks. MXNet library is portable and can scale to multiple GPUs and multiple machines. MXNet is supported by major Public Cloud providers including AWS and Azure. Amazon has chosen MXNet as its deep learning framework of choice at AWS.

Keras

Is an open source neural network library written in Python. It is capable of running on top of MXNet, Deeplearning4j, Tensorflow, CNTK or Theano. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular and extensible.

Torch

Torch is an open source machine learning library, a scientific computing framework, and a script language based on the Lua programming language. It provides a wide range of algorithms for deep machine learning, and uses the scripting language LuaJIT, and an underlying C implementation.

Microsoft Cognitve Toolkit

Previously known as CNTK and sometimes styled as The Microsoft Cognitive Toolkit, is a deep learning framework developed by Microsoft Research. Microsoft Cognitive Toolkit describes neural networks as a series of computational steps via a directed graph.