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Home Page: https://amitness.com/
Repo to host the comments with https://utteranc.es/
Home Page: https://amitness.com/
Learn how to augment existing labeled text data for free using Google Sheets.
https://amitness.com/2020/02/back-translation-in-google-sheets/
Learn how to integrate and finetune tensorflow-hub modules in Tensorflow 2.0
http://amitness.com/2020/02/tensorflow-hub-for-transfer-learning/
DeepCluster is a self-supervised method to combine clustering and representation learning
In Windows, we can use Alt+F4 keyboard shortcut to shutdown. But Linux doesn’t have such feature out of the box. After switching to Ubuntu, I struggled trying to make a keyboard shortcut for shutting down the computer.
A deep-dive into how Universal Sentence Encoder learns to generate fixed-length sentence embeddings
A comprehensive guide to FastAPI with a side-by-side code comparison with Flask
Learn about lesser-known features in Google Colaboratory to improve your productivity.
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
A visual introduction to self-supervised learning methods for visual representations.
https://amitness.com/2020/02/illustrated-self-supervised-learning/
A text generation approach to zero-shot text classification with GPT-2
http://amitness.com/2020/06/zero-shot-classification-via-generation/
If you are migrating to Django from another MVC framework, chances are you already know SQL. In this post, I will be illustrating how to use Django ORM by drawing analogies to equivalent SQL statements.
A general framework to transfer knowledge from deep self-supervised models to shallow task-specific models
A visual guide to the SimCLR framework for contrastive learning of visual representations.
Learn how to setup and use VSCode as an IDE on Google Colab
An extensive overview of text data augmentation techniques for Natural Language Processing
Learn how to automate repetitive commands after connecting to a SSH server
A comprehensive overview of recent semi-supervised learning methods in Computer Vision
Learn the meaning behind mathematical symbols used in Machine Learning using your knowledge of Python.
Learn how to predict the language of a given piece of text using Natural Language Processing.
An illustrated summary of ALBERT paper.
A mental model of how various components of a regular expression work from the bottom-up.
Learn how to use the modern pathlib module to perform tasks you have been using os.path for.
A self-supervised method to generate labels via simultaneous clustering and representation learning
Learn about the advanced python native features behind PyTorch
Learn how PIRL generates image representations invariant to transformation in a self-supervised manner
Learn about unsupervised algorithms for automatically extracting representative keyword and phrases from documents
A deep-dive into how FastText enriches word vectors with subword information
Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams
What a commit history of version-controlled research papers could look like?
An overview of self-supervised pretext tasks in Natural Language Processing
Learn how to interactively explore sentence embeddings and labels in Tensorflow Embedding Projector
A summary of “Train Once, Test Anywhere” paper for zero-shot text classification
Learn about common metrics used to evaluate performance of information retrieval systems
http://amitness.com/2020/08/information-retrieval-evaluation/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.