m LIBS

 PYTHON LIBRARIES

Tensorflow

open-source software library for Machine Intelligence
aymericdamien/TensorFlow-Examples github
Learning Path:TensorFlow: The Road to TensorFlow
TensorFlow and Deep Learning without a PhD, Part 1
tensorflow code
Lecture 7: Introduction to TensorFlow

NUMPY

NumPy, Filip Schouwenaars
Intro to Python for Data Science,numpy
Data Analysis Using NumPy and Pandas
Neural network with numpy

SCIKIT-LEARN

python for data science
simple and efficient tools for data mining and data analysis

NLTK

NLTK documentation
NLTK corpora

SPACY

large-scale information extraction tasks, prepare text for deep learning, interoperates with TensorFlow, PyTorch, scikit-learn, Gensim and the rest

PANDAS

Data Analysis Using NumPy and Pandas

KERAS

high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano
Keras: Deep Learning in Python
Jason Brownlee:Develop Your First Neural Network in Python With Keras Step-By-Step
Deep Learning in Python
the SemiColon: Deep Learning with Keras -a list

Scikit-Flow

Scikit-learn + TensorFlow = Scikit Flow

others

tool for research- use it if you don’t want to bother with re-implementing algorithms
tool kit for processing text using computational linguistics
a machine learning modeling tool for developers and data scientists
machine learning toolbox for easy scientific experimentation
framework that helps you build and manage neural network models on using Theano
lightweight library to build and train neural networks in Theano
annotation and training tool