fabiofumarola / demystifying-aiLinks
Tutorial about Artificial Intelligence, Machine Learning and Deep Learning
☆12Updated 6 years ago
Alternatives and similar repositories for demystifying-ai
Users that are interested in demystifying-ai are comparing it to the libraries listed below
Sorting:
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- A Jupyter Notebook and python scripts that allows users to easily train a siamese network on image similarity, export the model to a Save…☆20Updated 3 years ago
- Facebook's Deep Fake Detection Challenge on Kaggle with AWS☆28Updated 5 years ago
- Operations Research Algorithms☆19Updated last year
- The tools and syntax you need to code neural networks from day one.☆60Updated 8 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- ☆33Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆16Updated 6 years ago
- A place where I build Dockerfiles used in other projects. Built in CircleCI.☆19Updated 5 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- ☆12Updated 7 years ago
- ☆25Updated 4 years ago
- The Open Source Deep Learning Glossary☆37Updated 5 years ago
- Articles on machine learning☆65Updated 3 years ago
- ☆65Updated 6 years ago
- An ML project template with sensible defaults☆39Updated 3 years ago
- ☆59Updated 4 years ago
- Synthetic data generation for graph ML experiments☆22Updated 4 years ago
- Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python☆71Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆106Updated this week
- Learn how to build NPL Cognitive Chatbots☆24Updated 5 years ago
- Code and links to the data for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"☆31Updated last year
- RapidML is a smart Python framework for rapidly prototyping Machine Learning APIs for the Web!☆45Updated 7 years ago
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated 11 months ago
- Notebooks and Colab links for the code samples for the Manning video course "Deep Learning Crash Course"☆39Updated 4 years ago
- Automated machine learning (AutoML) with grammar-based genetic programming☆54Updated last year
- ☆16Updated 6 years ago
- DEEP-LEARNING-practical-introduction-with-Keras☆47Updated 5 years ago
- Data Science / Machine Learning portfolio☆17Updated 9 months ago
- How to do data science with Optimus, Spark and Python.☆19Updated 6 years ago