Vikash Sehwag's repositories
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.
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.
guided_diffusion
Forked from https://github.com/openai/guided-diffusion
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Awesome-Pruning
A curated list of neural network pruning resources.
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
chatgpt_interview_guide_ML
List of machine learning interview questions generated by ChatGPT. Work in progress.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
FreeAdversarialTraining
PyTorch Implementation of Adversarial Training for Free!
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
opacus
Training PyTorch models with differential privacy
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
vsehwag.github.io
Personal webpage.