vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it …

Build fast web applications with Rust.

Deep learning in Rust, with shape checked tensors and neural networks

A simple and effective method for detecting out-of-distribution images in neural networks.

👽 Out-of-Distribution Detection with PyTorch

Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching

Model interpretability and understanding for PyTorch

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

This repository is the official implementation of the aaai2022 paper "Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP"

Benchmarking Generalized Out-of-Distribution Detection

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

My implementation of the Query2Label paper.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Random Network Distillation pytorch

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

Multi-Label Learning from Single Positive Labels - CVPR 2021

adds trait queries to the bevy game engine

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Monte Carlo Batch Normalization implementation with Pytorch including a fix for the performance problems of the original implementation.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

A fast and secure runtime for WebAssembly