habibsifat Goto Github PK
Name: Md Habibur Rahman Sifat
Type: User
Company: The Hong Kong Polytechnic University(PolyU)
Bio: CS Researcher at PolyU
Location: Hong Kong
Name: Md Habibur Rahman Sifat
Type: User
Company: The Hong Kong Polytechnic University(PolyU)
Bio: CS Researcher at PolyU
Location: Hong Kong
We present a unique algorithm for Bangla that can be used to generate error or misspelled Bangla words, like we often do while writing in Bangla through English keyboard. The purpose of making the error Bangla words or in other words, the Bangla error word dataset, is that, it can be used for evaluating performance of various existing Bangla spell checkers along with paragraph correction in order to improve the quality of suggestions for misspelled words. We propose this algorithm for Bangla, regarding the various complex context-sensitive rules of Bangla. In our work, we made a cluster list and realize the similar pronounced letters in Bangla and replace those letters for making an error word. Our goal is to make the errors in writing as human as possible. We are striving for finding out the mistake patterns of human while writing Bangla, using English keyboard with QWERTY layout and use that subject for our work. We also test various existing Bangla spell checkers with our dataset and found a variety of results. The results are shown a table in the result section.
A collection of tools, datasets and resources on Bangla computing
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
A Large Collection of Bengali Words & Translations (বাংলা-শব্দ-bengali-shobdo-bengal-word-list-bangla-translation-spell-check-checker-dictionary-translator-dataset-data-set-english-to-bd-bn-en-e2b-sobdo)
Implementation of the tree triplet distance algorithms from our paper "Cache oblivious algorithms for computing the triplet distance between trees", published in ESA 2017
Python scripts for training/testing paragraph vectors
A Deep Reinforcement Learning-Based Scheme for Solving Multiple Knapsack Problems
Proof of concept for student abstract. "Teaching Convolutional Neural Networks to Solve Conway’s Reverse Game of Life"
A framework for implementing federated learning
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Flower - A Friendly Federated Learning Framework
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
💭🗣️💢Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using Pre-trained BERT Embeddings
Hyperbolic Embeddings
Image Processing using Convolutional Neural Network with Keras. Here I have used the MobileNet pre-trained model for classification.Convert Video to Image using OpenCV
A Unified Toolkit for Deep Learning Based Document Image Analysis
LSTM language model with CNN over characters
Implementation of the node2vec algorithm.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.