Sushant Kafle's repositories
speechtext-wimp-labeler
This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for understanding its meaning. The model operates on human-annotated corpus of word importance for its training and evaluation. The corpus can be downloaded from: http://latlab.ist.rit.edu/lrec2018
Excel2HTML
Excel2HTML is a Java Based Excel to HTML converter.
MarchingSquares
This repository contains an implementation of Marching Square Algorithm. Its coded in python and is used for tutorial purposes.
feature-fusion-word-importance
This project demonstrates an early feature fusion strategy for combining prosodic and lexical representations of speech for predicting importance of words in spoken dialogues for understanding its meaning. The model operates on human-annotated corpus of word importance for its training and evaluation. The corpus can be downloaded from: http://latlab.ist.rit.edu/lrec2018
DecisionTree
Implementation of Decision Tree Learning Method called ID3 Algorithm using Javascript in HTML5 Canvas.
QuickHull2D
An Implementation of Quick Hull algorithm to find Convex Hull of points, written in C++.
PerlinNoise
Implementation of Perlin Noise Algorithm.
3D-Maze-Simulation-and-Rendering
A project for "Computer Graphics" on 6th Semester (B.E.),2012.
android-circlebutton
Circle button widget for Android
Automatic-POIExcelBuilder
Automatic Excel Builder using Java POI
CodeFrame_BloggerPlugin
A plugin for better display of "Codes" in Webpages.
GLSL-Sandbox
The repository contains my GLSL Shader Samples.
mturk-lean-external-question
A lean, mean, very quickly deployable ExternalQuestion template for Amazon Mechanical Turk. Simplified as a static page.
OnTheFlyVideo
Create videos on the fly.
sequence_tagging
Sequence Tagging with Tensorflow
sushantkafle.github.io
Finally my github homepage
SVNKit_MadeEasy
Simple Java SVNKit Class to read and process a file from a repository.
tensorflow
Computation using data flow graphs for scalable machine learning