TensorFlow

Resources for TensorFlow, Machine Learning and AI
  • Docs/Publications

    • ​ML Glossary: Go beyond the hype, understand each term that is used in Machine Learning workflows. It's also a good baseline to build your organization's Machine Learning glossary.

    • ​TensorFlow docs: One place for all the best and always up to date content on TensorFlow and best practices on Machine Learning.

    • ​Research Publication from Google: All the research papers from Google Research

    • ​Arxive Sanity: Cause otherwise it's insane amount of research content

    • ​AI education: Best content on learning machine learning constantly updated

    • ​Google AI blog: Latest news from Google AI to keep a tab on what's new in Machine Learning

  • Tools

    • ​CoLab: Free hosted notebooks from Google AI team with free GPU and TPU access

    • ​Kaggle Kernels: Free hosted notebooks from the Kaggle team with free access to GPUs and amazing community

    • ​Kaggle Datasets: Free datasets to use for your data science and machine learning projects

    • ​Kaggle Competitions: Competitions to test your mettle with the best in the world

    • ​Dataset search: Google search for datasets of all kinds from various sources

    • ​Kubeflow: Open Source, end to end machine learning platform built with the power of TensorFlow, Kubernetes, Dataflow, TFX, Hub, Serving and other similar best technologies.

    • ​AutoML: No code, no problem! Get the best machine learning models for you without need for any code or machine learning experiences.

    • ​Facets: Visualization for Machine Learning datasets which works seamlessly regardless of the data size and type

    • ​What-If... you could inspect a machine learning model, with no coding required?

    • ​ML Kit: Machine Learning for mobile developers, making mobile Machine learning smooth

    • ​TF Research Cloud: TPUs for researchers working on cutting edge deep learning research.

    • ​TFHub.dev: Prebuilt models that can be utilized by tensorflow's hub API

  • Conferences

    • ​TensorFlow DevSummit: Meet machine learning user, researchers and industry leaders utilizing or contributing to TensorFlow.

    • ​NeurIPS: Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference.

  • Demo

    • ​TensorFlow Playground: A one stop place to learn and understand various Machine Learning concepts.

    • ​AI Experiments: Showcase of simple experiments by Google to start exploring machine learning.

      • ​TechableMachines: An interactive playground to train and test a model in browser

    • ​Seedbank: Interactive Machine Learning examples with linked notebooks

    • ​Magenta Demos: Music by machines, no, not the clunky kind

    • ​TF/examples: Examples of using TensorFlow

    • ​TPU demo: Shows how TPUs are more powerful than other processing systems

  • End-to-End solution

    • ​Presentation: End-To-End Machine Learning walkthrough, updated regularly!

    • ​Code: End-To-End solution that you can use in production right now on Google Cloud

  • Hands-on Learning

  • Social/Others

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