Vikash Sehwag

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.

lifelong-robustness. Python

guided_diffusion. Forked from https://github.com/openai/guided-diffusion

awesome-federated-computing. :books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

awesome-anomaly-detection. A curated list of awesome anomaly detection resources

ALAE. [CVPR2020] Adversarial Latent Autoencoders

Awesome-Pruning. A curated list of neural network pruning resources.

anomaly-detection-resources. Anomaly detection related books, papers, videos, and toolboxes

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ssd. HTML

chatgpt_interview_guide_ML. List of machine learning interview questions generated by ChatGPT. Work in progress.

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

hydra. A framework for pruning adversarially robust neural networks.