Pinned Repositories
ptop
An awesome task manager written in python. :computer:
BEAST
Implementation of BEAST adversarial attack for language models (ICML 2024)
Convolution-based-Unlearnability
ESOLA
Epoch-synchronous overlap-add (ESOLA) for time-and pitch-scale modification of speech signals.
Foreground-Extraction-towards-Object-Recognition
Foreground Extraction towards Object Recognition using superpixels, GIST descriptor, Visual vocabulary with bag of words representation
Input-Sparsity-Time-Low-Rank-Approximation-via-Ridge-Leverage-Score-Sampling
Cohen, Michael B., Cameron Musco, and Christopher Musco. "Input sparsity time low-rank approximation via ridge leverage score sampling." Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2017.
NIC-Assignments
Assignment 3 and 4
Panaroma-with-depth
Panaroma with depth, image stitching, warping and blending.
Reliability-of-AI-text-detectors
Can AI-Generated Text be Reliably Detected?
Sampling-and-sketching-methods-for-machine-learning
Introduction to data science course project
vinusankars's Repositories
vinusankars/BEAST
Implementation of BEAST adversarial attack for language models (ICML 2024)
vinusankars/Reliability-of-AI-text-detectors
Can AI-Generated Text be Reliably Detected?
vinusankars/Convolution-based-Unlearnability
vinusankars/ESOLA
Epoch-synchronous overlap-add (ESOLA) for time-and pitch-scale modification of speech signals.
vinusankars/Foreground-Extraction-towards-Object-Recognition
Foreground Extraction towards Object Recognition using superpixels, GIST descriptor, Visual vocabulary with bag of words representation
vinusankars/Panaroma-with-depth
Panaroma with depth, image stitching, warping and blending.
vinusankars/Sampling-and-sketching-methods-for-machine-learning
Introduction to data science course project
vinusankars/Input-Sparsity-Time-Low-Rank-Approximation-via-Ridge-Leverage-Score-Sampling
Cohen, Michael B., Cameron Musco, and Christopher Musco. "Input sparsity time low-rank approximation via ridge leverage score sampling." Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2017.
vinusankars/NIC-Assignments
Assignment 3 and 4
vinusankars/ptop
An awesome task manager written in python. :computer:
vinusankars/SIFT
SIFT feature matching between 2 images.
vinusankars/SMApproxLib
vinusankars/Stock-market
vinusankars/Value-predicton
ISCA CVP entry
vinusankars/ai-detection-paraphrases
Official repository for our preprint "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense" (https://arxiv.org/abs/2303.13408).
vinusankars/approx-fpgas
Approximate arithmetic circuits for FPGAs
vinusankars/Basic-image-processing-on-FPGA
vinusankars/curriculum_learning
Code implementing the experiments described in the paper "Statistical Measures For Defining Curriculum Scoring Function" by Sadasivan & Dasgupta (SubsetML Workshop @ ICML 2021)
vinusankars/Face-recognition
Eigen faces for face recognition
vinusankars/Fundamental-matrix
Fundamental matrix for geometric transformations.
vinusankars/IoT-Project
vinusankars/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
vinusankars/lm-watermarking
vinusankars/opacus
Training PyTorch models with differential privacy
vinusankars/OS-Lab
vinusankars/OS-Lab-Assignments
OS course assignments and lab codes
vinusankars/Panaroma
Panaroma by image stictching and warping
vinusankars/Patch-wise-WCE-classification
vinusankars/Simple-LUD
vinusankars/vinusankars.github.io
Vinu's Homepage