saurabhgarg1996

Open-Set-Label-Shift

Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift

PU_learning

Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotlight)

RATT_generalization_bound

Code and results accompanying our paper titled RATT: Leveraging Unlabeled Data to guarantee generalization at ICML 2021 (Long Talk)

RLSbench

Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift

140070003_104

Cs101 project submission

Admin_Panel

Winter Internship 2015 (Admin Panel Management using PHP )

ATC_code

Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022

calibration

Simple implementation of Temperature and Vector Scaling in python

CIFAR-10-NEG

CIFAR-10-Neg dataset

PfR_spurious_correlations

saurabhgarg1996/ATC_code

Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022

saurabhgarg1996/CIFAR-10-NEG

CIFAR-10-Neg dataset

saurabhgarg1996/calibration

Simple implementation of Temperature and Vector Scaling in python

saurabhgarg1996/PfR_spurious_correlations

saurabhgarg1996/140070003_104

Cs101 project submission

saurabhgarg1996/Admin_Panel

Winter Internship 2015 (Admin Panel Management using PHP )

saurabhgarg1996/Box2D_Project

saurabhgarg1996/cinic-10

A drop-in replacement for CIFAR-10.

saurabhgarg1996/Django_Project

saurabhgarg1996/Dual-RNN

Code for our EMNLP 2018 paper titled "Code-switched Language Models Using Dual RNNs and Same-Source Pretraining"

saurabhgarg1996/kaldi

This is now the official location of the Kaldi project.

saurabhgarg1996/models

Models and examples built with TensorFlow

saurabhgarg1996/open_lm

A repository for research on medium sized language models.

saurabhgarg1996/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

saurabhgarg1996/robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

saurabhgarg1996/saurabhgarg2.github.io

saurabhgarg1996/Sentence-VAE

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

saurabhgarg1996/Software-System-Lab-Work

saurabhgarg1996/Speech-Recognition-System

TensorFlow implementation of End to End Speech recognition system

saurabhgarg1996/Surveillance_bot

saurabhgarg1996/swav-cifar10

SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav

saurabhgarg1996/VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

saurabhgarg1996/wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.