Update README.md

Author: krzjoa

README.md

@@ -163,26 +163,14 @@
 * [MXNet](https://github.com/ROCmSoftwarePlatform/mxnet) - HIP Port of MXNet. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> <img height="20" src="img/amd_big.png" alt="Possible to run on AMD GPU">
 
 ### Others
-* [CNTK](https://github.com/Microsoft/CNTK) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.
-* [Neon](https://github.com/NervanaSystems/neon) - Intel® Nervana™ reference deep learning framework committed to best performance on all hardware.
 * [Tangent](https://github.com/google/tangent) - Source-to-Source Debuggable Derivatives in Pure Python.
 * [autograd](https://github.com/HIPS/autograd) - Efficiently computes derivatives of numpy code.
 * [Myia](https://github.com/mila-udem/myia) - Deep Learning framework (pre-alpha).
 * [nnabla](https://github.com/sony/nnabla) - Neural Network Libraries by Sony.
 * [Caffe](https://github.com/BVLC/caffe) - A fast open framework for deep learning.
-* [Caffe2](https://github.com/pytorch/pytorch/tree/master/caffe2) - A lightweight, modular, and scalable deep learning framework (now a part of PyTorch).
 * [hipCaffe](https://github.com/ROCmSoftwarePlatform/hipCaffe) - The HIP port of Caffe. <img height="20" src="img/amd_big.png" alt="Possible to run on AMD GPU">
-* [Chainer](https://github.com/chainer/chainer) - A flexible framework for neural networks.
-* [ChainerCV](https://github.com/chainer/chainercv) - A Library for Deep Learning in Computer Vision.
-* [ChainerMN](https://github.com/chainer/chainermn) - Scalable distributed deep learning with Chainer.
-**WARNING: Theano development has been stopped**
-* [Theano](https://github.com/Theano/Theano) - A Python library that allows you to define, optimize, and evaluate mathematical expressions.<img height="20" src="img/theano_big.png" alt="Theano compatible">
-* [Lasagne](https://github.com/Lasagne/Lasagne) - Lightweight library to build and train neural networks in Theano. <img height="20" src="img/theano_big.png" alt="Theano compatible">
-* [nolearn](https://github.com/dnouri/nolearn) - A scikit-learn compatible neural network library (mainly for Lasagne). <img height="20" src="img/theano_big.png" alt="Theano compatible"> <img height="20" src="img/sklearn_big.png" alt="sklearn">
-* [Blocks](https://github.com/mila-udem/blocks) - A Theano framework for building and training neural networks. <img height="20" src="img/theano_big.png" alt="Theano compatible">
-* [scikit-neuralnetwork](https://github.com/aigamedev/scikit-neuralnetwork) - Deep neural networks without the learning cliff. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/theano_big.png" alt="Theano compatible">
-* [platoon](https://github.com/mila-udem/platoon) - Multi-GPU mini-framework for Theano. <img height="20" src="img/theano_big.png" alt="Theano compatible">
-* [Theano-MPI](https://github.com/uoguelph-mlrg/Theano-MPI) - MPI Parallel framework for training deep learning models built in Theano. <img height="20" src="img/theano_big.png" alt="Theano compatible">
+
+**[DISCONTINUED PROJECTS](https://github.com/krzjoa/awesome-python-data-science/edit/master/other/deprecated.md)**
 
 ## Web Scraping
 * [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/): The easiest library to scrape static websites for beginners