Dots added

Author: krzjoa

README.md

@@ -129,7 +129,7 @@
 * [ignite](https://github.com/pytorch/ignite) - High-level library to help with training neural networks in PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [PyToune](https://github.com/GRAAL-Research/pytoune) - A Keras-like framework and utilities for PyTorch.
 * [skorch](https://github.com/dnouri/skorch) - A scikit-learn compatible neural network library that wraps pytorch. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
-* [PyTorchNet](https://github.com/pytorch/tnt) - An abstraction to train neural networks <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
+* [PyTorchNet](https://github.com/pytorch/tnt) - An abstraction to train neural networks. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [Aorun](https://github.com/ramon-oliveira/aorun) - Intend to implement an API similar to Keras with PyTorch as backend. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [pytorch_geometric](https://github.com/rusty1s/pytorch_geometric) - Geometric Deep Learning Extension Library for PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 
@@ -139,7 +139,7 @@
 * [TensorLayer](https://github.com/zsdonghao/tensorlayer) - Deep Learning and Reinforcement Learning Library for Researcher and Engineer. <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [TFLearn](https://github.com/tflearn/tflearn) - Deep learning library featuring a higher-level API for TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [Sonnet](https://github.com/deepmind/sonnet) - TensorFlow-based neural network library. <img height="20" src="img/tf_big2.png" alt="sklearn">
-* [tensorpack](https://github.com/ppwwyyxx/tensorpack) - A Neural Net Training Interface on TensorFlow <img height="20" src="img/tf_big2.png" alt="sklearn">
+* [tensorpack](https://github.com/ppwwyyxx/tensorpack) - A Neural Net Training Interface on TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [Polyaxon](https://github.com/polyaxon/polyaxon) - A platform that helps you build, manage and monitor deep learning models. <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [NeuPy](https://github.com/itdxer/neupy) - NeuPy is a Python library for Artificial Neural Networks and Deep Learning (previously: <img height="20" src="img/theano_big.png" alt="Theano compatible">). <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [tfdeploy](https://github.com/riga/tfdeploy) - Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. <img height="20" src="img/tf_big2.png" alt="sklearn">
@@ -342,7 +342,7 @@
 * [hsmmlearn](https://github.com/jvkersch/hsmmlearn) - A library for hidden semi-Markov models with explicit durations.
 * [pyhsmm](https://github.com/mattjj/pyhsmm) - Bayesian inference in HSMMs and HMMs.
 * [GPyTorch](https://github.com/cornellius-gp/gpytorch) - A highly efficient and modular implementation of Gaussian Processes in PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
-* [MXFusion](https://github.com/amzn/MXFusion) - Modular Probabilistic Programming on MXNet <img height="20" src="img/mxnet_big.png" alt="MXNet based">
+* [MXFusion](https://github.com/amzn/MXFusion) - Modular Probabilistic Programming on MXNet. <img height="20" src="img/mxnet_big.png" alt="MXNet based">
 * [sklearn-crfsuite](https://github.com/TeamHG-Memex/sklearn-crfsuite) - A scikit-learn inspired API for CRFsuite. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 
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