Name: Md. Shahrin Nakkhatra
Type: User
Company: @Optimizely
Bio: Iām interested in Machine Learning (NLP and Computer Vision) and Data science
Location: Dhaka, Bangladesh
Blog: https://www.linkedin.com/in/nakkhatra/
Md. Shahrin Nakkhatra's Projects
Here I will be uploading the algorithmic problem solving solutions by me that I practise from leetcode and hackerrank.
A demo on how to create BPE Tokenization on a sample text corpus.
This is a collection of useful Competitive Programming material!
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A library for efficient similarity search and clustering of dense vectors.
Personal Website of Koushik Roy
Language-agnostic BERT Sentence Embedding (LaBSE)
Here I will be uploading the projects that I cover while going through the course of Django by Dr. Charles Russel Severance.
Here I will be uploading the algorithmic problems that I solve in leetcode.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Vectorized version of gradient descent with multiple variables
Config files for my GitHub profile.
AI for Improving Road Safety in Bangladesh
š¤ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Built a multilingual person name classifier
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
The official implementation of EMNLP 2020, "A Simple and Effective Model for Answering Multi-span Questions".
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.