carrtesy

carrtesy's Stars

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.9k3341406

• davda54/sam

  SAM: Sharpness-Aware Minimization (PyTorch)

  Language:Python1.8k1282195

• datamllab/tods

  TODS: An Automated Time-series Outlier Detection System

  Language:Python1.5k3090194

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python45053283

• pokaxpoka/deep_Mahalanobis_detector

  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

  Language:Python34392078

• marcellodebernardi/loss-landscapes

  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

  Language:Python3103652

• byungjae89/MahalanobisAD-pytorch

  PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"

  Language:Python1336323

• shjung13/Standardized-max-logits

  Official PyTorch implementation of paper: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation (ICCV 2021 Oral Presentation)

  Language:Python753912

• deep-spin/infinite-former

  Language:Python64447

• juho-lee/bnp

  Pytorch implementation of neural processes and variants

  Language:Python27215

• choyi0521/WaveBound

  Language:Python21121

• deepshwang/howtodocker

  Introductory document of how to use docker for ML developments

  Language:Shell4101