Pinned Repositories
hydra
Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).
SSD
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
robustbench.github.io
Website for the RobustBench leaderboard
ALAE
[CVPR2020] Adversarial Latent Autoencoders
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
lifelong-robustness
minimal-diffusion
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
pytorch_baseline
Baseline natural/adversarial training framework with mixed precision (amp fp16) + multi-gpu support.
VSehwag's Repositories
VSehwag/minimal-diffusion
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
VSehwag/pytorch_baseline
Baseline natural/adversarial training framework with mixed precision (amp fp16) + multi-gpu support.
VSehwag/lifelong-robustness
VSehwag/ALAE
[CVPR2020] Adversarial Latent Autoencoders
VSehwag/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
VSehwag/awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
VSehwag/guided_diffusion
Forked from https://github.com/openai/guided-diffusion
VSehwag/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
VSehwag/Awesome-Pruning
A curated list of neural network pruning resources.
VSehwag/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
VSehwag/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
VSehwag/hydra
A framework for pruning adversarially robust neural networks.
VSehwag/ssd
VSehwag/blog
VSehwag/chatgpt_interview_guide_ML
List of machine learning interview questions generated by ChatGPT. Work in progress.
VSehwag/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
VSehwag/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
VSehwag/FreeAdversarialTraining
PyTorch Implementation of Adversarial Training for Free!
VSehwag/gitignore
A collection of useful .gitignore templates
VSehwag/hidden-networks
VSehwag/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
VSehwag/jax_privacy
VSehwag/opacus
Training PyTorch models with differential privacy
VSehwag/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
VSehwag/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST
VSehwag/SPML_seminar
VSehwag/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
VSehwag/TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
VSehwag/vision
Datasets, Transforms and Models specific to Computer Vision
VSehwag/vsehwag.github.io
Personal webpage.