Pinned Repositories
Bash-Editor
DBSCAN
Implementation of DBSCAN Algorithm in Python.
DecisionTree
Implementation of Decision Tree Learning Method called ID3 Algorithm using Javascript in HTML5 Canvas.
Excel2HTML
Excel2HTML is a Java Based Excel to HTML converter.
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
MarchingSquares
This repository contains an implementation of Marching Square Algorithm. Its coded in python and is used for tutorial purposes.
PerlinNoise
Implementation of Perlin Noise Algorithm.
QuickHull2D
An Implementation of Quick Hull algorithm to find Convex Hull of points, written in C++.
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
TripletExtraction
SushantKafle's Repositories
SushantKafle/DBSCAN
Implementation of DBSCAN Algorithm in Python.
SushantKafle/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
SushantKafle/Excel2HTML
Excel2HTML is a Java Based Excel to HTML converter.
SushantKafle/MarchingSquares
This repository contains an implementation of Marching Square Algorithm. Its coded in python and is used for tutorial purposes.
SushantKafle/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
SushantKafle/DecisionTree
Implementation of Decision Tree Learning Method called ID3 Algorithm using Javascript in HTML5 Canvas.
SushantKafle/TripletExtraction
SushantKafle/Bash-Editor
SushantKafle/QuickHull2D
An Implementation of Quick Hull algorithm to find Convex Hull of points, written in C++.
SushantKafle/PerlinNoise
Implementation of Perlin Noise Algorithm.
SushantKafle/3D-Maze-Simulation-and-Rendering
A project for "Computer Graphics" on 6th Semester (B.E.),2012.
SushantKafle/android-circlebutton
Circle button widget for Android
SushantKafle/Automatic-POIExcelBuilder
Automatic Excel Builder using Java POI
SushantKafle/browse-smart
SushantKafle/CodeFrame_BloggerPlugin
A plugin for better display of "Codes" in Webpages.
SushantKafle/FartyBird
Fun Project with my little brother :)
SushantKafle/findout
Scramble game in HTML5
SushantKafle/gitignore
A collection of useful .gitignore templates
SushantKafle/GLSL-Sandbox
The repository contains my GLSL Shader Samples.
SushantKafle/importance-labeler
SushantKafle/kabach
An Anti VAW app built for android.
SushantKafle/KeywordSentiment
SushantKafle/lz4-java
LZ4 compression for Java
SushantKafle/mturk-lean-external-question
A lean, mean, very quickly deployable ExternalQuestion template for Amazon Mechanical Turk. Simplified as a static page.
SushantKafle/OnTheFlyVideo
Create videos on the fly.
SushantKafle/ROCNepalReadingGroup
SushantKafle/sequence_tagging
Sequence Tagging with Tensorflow
SushantKafle/sushantkafle.github.io
Finally my github homepage
SushantKafle/SVNKit_MadeEasy
Simple Java SVNKit Class to read and process a file from a repository.
SushantKafle/tensorflow
Computation using data flow graphs for scalable machine learning