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George Mihaila
2018-10-24 14:02:23 -05:00
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@@ -20,17 +20,16 @@ Main libraries used: **Tensorflow**, **Keras**, **CatBoost**,
* **[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.
* **[Data Label Encoding](https://github.com/gmihaila/machine_learning_toolbox/blob/master/label_encoding.ipynb)** for categorical data.
* **[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.
* **[Keras Multi GPU](https://github.com/gmihaila/machine_learning_toolbox/blob/master/kera_multi_gpu.ipynb)** Example of how to use GPUs to train your modle in keras.
* **[Label Encoding](https://github.com/gmihaila/machine_learning_toolbox/blob/master/label_encoding.ipynb)** for categorical data.
* **[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.
* **[T-pot](https://github.com/gmihaila/machine_learning_toolbox/blob/master/tpot_auto_ml.ipynb)**. - Auto Machine Learning libary.
* **[Word Embedding](https://github.com/gmihaila/machine_learning_toolbox/blob/master/word_embeddings_visualize.ipynb)*** How to load and plot using PCA.
* **[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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