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README.md

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-# toy_models
-Implementations of toy model examples 
+## Machine Learning Toolkit
+
+</br>
+
+**Here is a list of notebooks written in Google Colab of Machine Learning models using toy examples.**
+
+Main libraries used: **Tensorflow**, **Keras**, **CatBoost**, 
+
+**Each notebooks:**
+* **has brief description of the model and implementation.**
+
+* **can be run in Google Colab.**
+
+* **is using toy data for educational purposes**
+
+</br>
+
+### Notebook:
+
+* ### [Cat Boost](https://github.com/gmihaila/deep_learning_toolbox/blob/master/cat_boost.ipynb) implementation.
+* ### [Check GPU](https://github.com/gmihaila/machine_learning_toolbox/blob/master/check_gpu.ipynb) in Tensorflow.
+* ### [Cuda Setup](https://github.com/gmihaila/machine_learning_toolbox/blob/master/cuda_setup.md) guide.
+* ### [Keras Checkpoints](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_checkpoins.ipynb) to do callbacks when training large Deep Learning models.
+* ### [Keras embedding layer](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_embedding.ipynb) How it works and how to add it to your Deep Learning Model.
+* ### [Keras Generator](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_generator.ipynb) use when dealing with Big Data. How to plug it to a Deep Learning model.
+* ### [Keras Time Distribution](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_time_distribution.ipynb) Explanation oh how it works and when to use it.
+* ### [Keras Tokenizer](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_tokenizer_fix.ipynb) Example of how to use it and fix the bug.
+* ### [Sequesnce To Sequence](https://github.com/gmihaila/machine_learning_toolbox/blob/master/seq2seq_translator.ipynb) model. Implementation for translation.
+* ### [Text Summarization Prototype](https://github.com/gmihaila/machine_learning_toolbox/blob/master/text_sum_no_generator.ipynb) using Sequence To Sequence architecture with actual data.
+* ### [Neural Network Keras vanila implementation](https://github.com/gmihaila/machine_learning_toolbox/blob/master/vanila_nn.ipynb). Toy example with actual data.
+* ### [Word Embedding](https://github.com/gmihaila/machine_learning_toolbox/blob/master/word_embeddings_visualize.ipynb) How to load and plot using PCA.
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