A Visual Guide to Regular Expression
A mental model of how various components of a regular expression work from the bottom-up.
Posts by Category
- nlp 19
- self-supervised-learning 7
- python 3
- data augmentation 3
- linux 2
- tensorflow 2
- semi-supervised-learning 2
- zero-shot-learning 2
- django 1
- maths 1
- pytorch 1
- workflow 1
- serving 1
- text mining 1
- colab 1
nlp
Interactive Analysis of Sentence Embeddings
Learn how to interactively explore sentence embeddings and labels in Tensorflow Embedding Projector
Text Data Augmentation with MarianMT
Learn how to use machine translation models in Hugging Face Transformers for data augmentation
Unsupervised Keyphrase Extraction
Learn about unsupervised algorithms for automatically extracting representative keyword and phrases from documents
Evaluation Metrics For Information Retrieval
Learn about common metrics used to evaluate performance of information retrieval systems
Behavioral Testing of NLP models with CheckList
An overview of the “CheckList” framework for fine-grained evaluation of NLP models
A Visual Guide to FastText Word Embeddings
A deep-dive into how FastText enriches word vectors with subword information
Universal Sentence Encoder Visually Explained
A deep-dive into how Universal Sentence Encoder learns to generate fixed-length sentence embeddings
Exploring Knowledge Captured in Probability of Strings
An exploration of simple knowledge captured by language models
Zero-shot Text Classification With Generative Language Models
A text generation approach to zero-shot text classification with GPT-2
Zero Shot Learning for Text Classification
A summary of “Train Once, Test Anywhere” paper for zero-shot text classification
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
A Visual Survey of Data Augmentation in NLP
An extensive overview of text data augmentation techniques for Natural Language Processing
A Commit History of BERT and its Forks
What a commit history of version-controlled research papers could look like?
A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU, and LSTM in Keras with diagrams
Back Translation for Text Augmentation with Google Sheets
Learn how to augment existing labeled text data for free using Google Sheets.
Visual Paper Summary: ALBERT (A Lite BERT)
An illustrated summary of ALBERT paper.
Transfer Learning in NLP with Tensorflow Hub and Keras
Learn how to integrate and finetune tensorflow-hub modules in Tensorflow 2.0
Identify the Language of Text using Python
Learn how to predict the language of a given piece of text using Natural Language Processing.
self-supervised-learning
Knowledge Transfer in Self Supervised Learning
A general framework to transfer knowledge from deep self-supervised models to shallow task-specific models
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
A Visual Exploration of DeepCluster
DeepCluster is a self-supervised method to combine clustering and representation learning
A Visual Guide to Self-Labelling Images
A self-supervised method to generate labels via simultaneous clustering and representation learning
The Illustrated PIRL: Pretext-Invariant Representation Learning
Learn how PIRL generates image representations invariant to transformation in a self-supervised manner
The Illustrated SimCLR Framework
A visual guide to the SimCLR framework for contrastive learning of visual representations.
The Illustrated Self-Supervised Learning
A visual introduction to self-supervised learning methods for visual representations.
python
A Visual Guide to Regular Expression
A mental model of how various components of a regular expression work from the bottom-up.
The Python Magic Behind PyTorch
Learn about the advanced python native features behind PyTorch
Migrating from OS.PATH to PATHLIB Module in Python
Learn how to use the modern pathlib module to perform tasks you have been using os.path for.
data augmentation
Text Data Augmentation with MarianMT
Learn how to use machine translation models in Hugging Face Transformers for data augmentation
A Visual Survey of Data Augmentation in NLP
An extensive overview of text data augmentation techniques for Natural Language Processing
Back Translation for Text Augmentation with Google Sheets
Learn how to augment existing labeled text data for free using Google Sheets.
linux
How to Automate Manual Steps after SSH
Learn how to automate repetitive commands after connecting to a SSH server
Shutdown Ubuntu With A Keyboard Shortcut
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 tryin...
tensorflow
A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU, and LSTM in Keras with diagrams
Transfer Learning in NLP with Tensorflow Hub and Keras
Learn how to integrate and finetune tensorflow-hub modules in Tensorflow 2.0
semi-supervised-learning
Semi-Supervised Learning in Computer Vision
A comprehensive overview of recent semi-supervised learning methods in Computer Vision
The Illustrated FixMatch for Semi-Supervised Learning
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
zero-shot-learning
Zero-shot Text Classification With Generative Language Models
A text generation approach to zero-shot text classification with GPT-2
Zero Shot Learning for Text Classification
A summary of “Train Once, Test Anywhere” paper for zero-shot text classification
django
Django ORM if you already know SQL
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 dr...
maths
Math Symbols Explained with Python
Learn the meaning behind mathematical symbols used in Machine Learning using your knowledge of Python.
pytorch
The Python Magic Behind PyTorch
Learn about the advanced python native features behind PyTorch
workflow
Google Colab Tips for Power Users
Learn about lesser-known features in Google Colaboratory to improve your productivity.
serving
FastAPI for Flask Users
A comprehensive guide to FastAPI with a side-by-side code comparison with Flask
text mining
Unsupervised Keyphrase Extraction
Learn about unsupervised algorithms for automatically extracting representative keyword and phrases from documents
colab
VSCode on Google Colab
Learn how to setup and use VSCode as an IDE on Google Colab and Kaggle.