zotroneneis / tensorflow_deep_learning_modelsLinks
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
☆37Updated 7 years ago
Alternatives and similar repositories for tensorflow_deep_learning_models
Users that are interested in tensorflow_deep_learning_models are comparing it to the libraries listed below
Sorting:
- Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay☆67Updated 7 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- A tutorial to create python based prediction web app☆30Updated 5 years ago
- basic pandas tutorials☆51Updated 8 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 7 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Work related to the Airbus Ship Detection Challenge https://www.kaggle.com/c/airbus-ship-detection☆13Updated 7 years ago
- Material for PyCon 2019 NLP Tutorial☆32Updated 6 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 7 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Guide on creating an API for serving your ML model☆66Updated 3 years ago
- Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"☆138Updated 2 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- The art of effective visualization of multi-dimensional data☆163Updated 7 years ago
- ☆10Updated 6 years ago
- Very basic introduction to pyspark☆15Updated 8 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆37Updated 5 years ago
- Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …☆30Updated 4 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆93Updated 2 years ago
- The Art of Data Science☆36Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- This is the code for "Backpropagation Explained" By Siraj Raval on Youtube☆36Updated 7 years ago
- GAN in Tensorflow to be run via Linux command line☆22Updated 7 years ago
- Tutorials on Machine Learning with Scikit-Learn☆83Updated 5 years ago
- Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone☆212Updated 5 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago