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artiviz

A tool to automatically generate dynamic graphics as webm files using themes provided as natural language queries. Built using p5.js, powered by ChatGPT.

assignment-2

SimpleRisc code for finding Ramanujan Number

autoffmpeg

A tool to automatically generate and debug ffmpeg commands using natural language queries. Powered by ChatGPT.

bbc-text-archive-tensorflow

Tokenizing and removing common stopwords from the BBC Text Archives

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

convolutions-as-matrix-multiplication

Understanding how CNNs can be implemented on a TPU

deepseminmf

This repository contains the pytorch code for the paper: A Deep Semi-NMF Model for Learning Hidden Representations (Trigeorgis2014)

diffvg

Differentiable Vector Graphics Rasterization

domain-adaptation

PyTorch implementations of some papers on Domain Adaptation

dv-fenix.github.io

generative-models

Generative Models by Stability AI

hello-world

Just beginning with git

hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

hyperspecae

Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)

icarl

ieee-iitr.github.io

Website for IEEE Student Chapter IITR

itr

Machine Translation

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

nerf

A simple 2D toy example to play around with NeRFs, implemented in pytorch-lightning. Repository can be used as a template to speed up further research on nerfs.

nl-code-adapter

Official implementation and data for our ICPC '22 paper "On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules"

nnvisualizer

A web app made using Flask and Streamlit to visualise the workings of a Neural Network

pygcn

Graph Convolutional Networks in PyTorch

rainbow-memory

Official pytorch implementation of Rainbow Memory (CVPR 2021)

reinforcementlearning

Implementing some RL algorithms (using PyTorch) on the CartPole environment by OpenAI.

sdc

A scaled down version of the self-driving system using OpenCV. The system comprises of - • Raspberry Pi with a webcam and an ultrasonic sensor as inputs, ◦ Steering using move in sdcar.py ◦ Stop sign detection using houghcircles and colour intensities ◦ Front collision avoidance using an ultrasonic sensor • l298N motor controller • project structure: *sdcar.py is a combination of all the following *lane_lines.py: step1.take the webcam feed and apply the canny edge algorithm to detect the edges step2. detect the lines in an edged image using houghlines step3. average the lines according to the slope step4.making points using slope step5. return right, left, camera and central line *sensor.py: distance measurement using input and output pins *sign.py: *detection of circles in image using hough circles *if the dominant colour in a square region around the circle is red then it is stop sign. *if the dominant colour in a square region around the circle is blue then there are 5 cases left, right, forward, forward and right or forward and left for this: • make the 3 zones of square regions the right , left, upper(for forward) • if the right zone is white and the other two are blue then the sum of RGB colour intensities in the right zone will be obviously greater than the other two zones then the sign is right similarly for others. Note : sign.py will work on following type of sign:

seminmf-autoencoders

Official implementation of our NCC'24 paper titled "Semi‑NMF Regularization‑Based Autoencoder Training for Hyperspectral Unmixing".

sentimentclassification

Fine-tuning a BERT model for Sentiment Classification on the SMILE: Twitter Emotion Dataset

seq2seq-con

Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"

snake

I wanted a project which would accommodate whatever I've learned in C++. This came close.

sylstm

Official implementation for the paper "Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks" published at SocialNLP @ NAACL-HLT 2022.