Discover @ys1998 Open Source projects

Yash Shah (@ys1998)

ys1998

Stars
90
Global Rank 223,380 (Top 8 %)
Followers 124
Following 47
Registered almost 8 years ago
Most used languages

Python
50.0 %

Java
12.5 %

CSS
12.5 %

C++
12.5 %

Jupyter Notebook
6.3 %

JavaScript
6.3 %
Location 🇮🇳 India
Country Total Rank 6,697
Country Ranking

CSS
287

C++
1,151

Python
2,967

academic-portfolio

A one-stop, clean and minimal mobile-friendly Jekyll theme for your academic homepage

spsim

Simulator for a superscalar processor with dynamic scheduling and branch prediction

vae-latent-structure

PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]

useful-snippets

A collection of code-snippets, cheat-sheets and tools to make programming-life a lot easier

wirespace

A web app which aims at disk-space sharing within a local network

desktop-buddy

A desktop manager written in python to carry out several basic tasks

nn-dl

Implementation of different neural networks in Python3 with and without using TensorFlow, their application to standard datasets, and a collection of resources to learn from

maso

Self-supervised representation learning for raw audio

alternate-loss-funcs

Code for my R&D project titled "Alternate Loss Functions for Neural Language Modeling" under Prof. Preethi Jyothi at IIT Bombay

cs252-assignments

Course assignments for CS252: Computer Networks Lab at IIT Bombay

handwriting-synthesis

Handwriting synthesis and text prediction using RNNs

edge

"Efficient Digital Grading Environment", course project for Database and Information Systems Lab

cnn-visual-recognition

Course assignments for CS231n : Convolutional Neural Networks for Visual Recognition offered by Stanford University

Jupyter Notebook

unblockme-solver

A program to find a step-by-step solution to any UnblockMe puzzle, given the initial arrangement of blocks

csea-website-2k17

New website for CSEA, IIT Bombay

research-hmmrl

Code for my seminar titled "Exploring Hybrid Models for Morphologically Rich Languages" with Prof. Preethi Jyothi at IIT Bombay