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active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

active-segmentation

Thesis for the MSc AI

active_gp_learning

This package provides a set of tools for performing active-learning with Gaussian Processes.

advanced-statistic-inference

Course exercise of Advanced Statistic Inference

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algp

Code for Active Learning with Gaussian Processes for High Throughput Phenotyping paper (https://arxiv.org/abs/1901.06803) (AAMAS 2019).

animegan2-pytorch

PyTorch implementation of AnimeGANv2

awesome-deep-camera-calibration

Deep Learning for Camera Calibration: A Survey

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

bayesian-deep-learning

Unofficial code for papers on Bayesian deep learning like MCMC, VAE, Bayes by Backprop etc.

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

bayesian-segmentation-and-uncertainty-estimation-on-cityscapes

Implement a network for semantic segmentation in image data, and also generate estimates of aleatoric and epistemic uncertainties associated with the segmentation.

bayesian-torch

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

bayesian_cellular_segmentation

Segmentation of cells using bayesian neural networks for a certainty metric

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bayesianunet

Pytorch Bayesian UNet model for segmentation and uncertainty prediction

bdl-benchmarks

Bayesian Deep Learning Benchmarks

bdlood

Bayesian deep learning for OoD detection benchmark

bnn-stock-predictions

Bayesian Neural Networks for Quantifying Uncertainty and Predicting Stock Fluctuations: A Comparison of LSTMs, GRUs, and Transformers

bnn_priors

Code for the paper "Bayesian Neural Network Priors Revisited"

cares-unet

CARes-UNet: Content-Aware Residual UNet for Lesion Segmentation of COVID-19 from Chest CT Images

celeba-classification

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cropatho-leaf-disease-detection

CroPatho is an Android Application which can detect diseases on crops by processing the leaf image.

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

daft

Render some probabilistic graphical models using matplotlib

damo-yolo

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.