lvzongyao Goto Github PK

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

deep_openset_recognition_through_uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

deep_uncertainty_estimation

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

detr-demo

A simple demo of how to use Facebook's DETR object detector for inference. DETR: End-to-End Object Detection with Transformers.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

gpnd

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

mmdetection

Open MMLab Detection Toolbox and Benchmark

oodsurvey

The Official Repository for "Generalized OOD Detection: A Survey"

open-set-recognition-1

Open Set Recognition

opengan

ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition

osraae

Open-set Recognition with Adversarial Autoencoders

owod

(CVPR 2021 Oral) Open World Object Detection

papers

Summaries of papers on machine learning, computer vision, autonomous robots etc.

pdq_evaluation

Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

practicalai

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

practicalai-cn

AI实战-practicalAI 中文版

pytorch-bayesiancnn

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

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-tiny-imagenet

pytorch-tiny-imagenet

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

rvchallenge-evaluation

Evaluation code for the ACRV Robotic Vision Challenge 1

singlemodeluncertainty

Learning error bars for neural network predictions

uncertainty-deep-learning

uq-course

Introduction to Uncertainty Quantification

wealthman

Android application to track personal stock portfolio