Count tokens in a text file.
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Updated
Jun 18, 2026 - Python
Count tokens in a text file.
BPE tokenizer used for Dart/Flutter applications when calling ChatGPT APIs
Self-containing notebooks to play simply with some particular concepts in Deep Learning
A Visualizer to check how BPE Tokenizer in an LLM Works
This project is a AI tool translator using NLP techniques
Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.
A pure Python implementation of Byte Pair Encoding (BPE) tokenizer. Train on any text, encode/decode with saved models, and explore BPE tokenization fundamentals.
Train and perform NLP tasks on the wikitext-103 dataset in Rust
A from-scratch implementation of a small language model, built part by part, from a text file to a system capable of generation, classification, instruction following, parameter-efficient adaptation, and reasoning-style preference training.
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that teaches computers to understand, interpret, and generate human language. It bridges the gap between human communication and machine understanding, powering everyday tools like digital assistants, spam filters, and language translation.
Streamlit UI for tokenization using TreebankWordTokenizer
Tokenization is a way of separating a piece of text into smaller units called tokens. Here, tokens can be either words, characters, or subwords. Hence, tokenization can be broadly classified into 3 types – word, character, and subword (n-gram characters) tokenization.
Implemented a tokenizer class , some language models techniques and based on those models generating next words.
A beginner-friendly project showing sentence/word tokenization with NLTK and token ID mapping with Hugging Face.
Byte-Pair Algorithm implementation (Karpathy version of Rust)
A complete, beginner-friendly pipeline to train, evaluate, and select the best SentencePiece tokenizer - with detailed comments and utilities.
Product Search Results Ranking for Marketplaces
Byte-Pair Encoding implemented in the Neve programming language
This is my simple and readable implementation of the Byte Pair Encoding Algorithm and a Bigram Model.
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