100 Days Of Nlp: Explore NLP Concepts in Jupyter

Understand the project

Practical overview

Use it when you want an example-led way to study NLP or explore how different model approaches are applied to language tasks.

Learners who want code examples for NLP concepts such as tokenization, embeddings, recurrent networks, attention and transformers.
Practitioners exploring model approaches to tasks including classification, generation, question answering and natural language inference.

Study implementations of NLP concepts and neural architectures.
Explore notebook examples for different NLP applications.
Compare approaches to natural language inference, including BiLSTM, attention, Transformer and BERT variants.

Before you choose

The repository is public and MIT-licensed. The project says most code samples use Jupyter notebooks with Google Colab.

The code samples are intended to run independently, rather than forming a single service or unified application.
The README describes Google Colab use for most samples.
Difficulty labels reflect the maintainer’s own understanding.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Use a notebook from the collection as a standalone NLP learning example.

A Jupyter notebook from the 100-Days-of-NLP collection.
Google Colab, which the README identifies as the environment used for most code samples.

Choose a notebook covering a topic of interest, such as tokenization, embeddings, or an NLP application.
Open the notebook in Google Colab.
Work through that notebook independently of the other samples.

An opportunity to explore an individual NLP code sample without following a required sequence.

The README says most, not all, code samples use Jupyter notebooks with Colab.
The collection notes that its difficulty ratings reflect the author's understanding.
No specific notebook execution results or environment setup steps are established here.

Evidence and transparency

Source record details

Source availability: Active
Sources checked: 16 October 2026
Original website title: graviraja/100-Days-of-NLP · Official homepage title · retained in its source language