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  • šŸ‘‹ Hi, Iā€™m @Md. Shahrin Nakkhatra
  • šŸ‘€ I graduated from Bangladesh University of Engineering & Technology in Mechanical Engineering and I'm interested in AI (NLP and Computer Vision), Machine Learning and Data science
  • šŸŒ± Currently working at Optimizely as a Machine Learning Data Engineer. Also working as a researcher and project contributor at Bengali.AI. Past: Avery Dennison, NybSys.
  • šŸ’žļø Iā€™m looking to collaborate on NLP and computer vision/ Data science projects
  • šŸ“« How to reach me: Linkedin: https://www.linkedin.com/in/nakkhatra/ Gmail: [email protected]

Md. Shahrin Nakkhatra's Projects

algorithmic-problem-solving icon algorithmic-problem-solving

Here I will be uploading the algorithmic problem solving solutions by me that I practise from leetcode and hackerrank.

darknet icon darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

labse icon labse

Language-agnostic BERT Sentence Embedding (LaBSE)

learning_django icon learning_django

Here I will be uploading the projects that I cover while going through the course of Django by Dr. Charles Russel Severance.

leetcode icon leetcode

Here I will be uploading the algorithmic problems that I solve in leetcode.

lora icon lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

peft icon peft

šŸ¤— PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

tokenization_from_txt_file icon tokenization_from_txt_file

In this code, I have created a class with two methods, where the first one tokenizes the words in the corpus (.txt file) with regular expressions and the second one tokenizes the words by turning this into a pandas dataframe. I tried to figure out which one is faster using the timeit module and faced some challenges there. It turned out to be, the regular expressions method is faster.

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