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3d-bounding-box-annotation-tool

3d-machine-learning

A resource repository for 3D machine learning

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

cada-vae-pytorch

Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

cdspp-hda

Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation

covid-19-x-ray-ct-papers-and-resources

A list of papers and datasets on X-ray or CT image based Covid-19 screening

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

deep-learning-models

Keras code and weights files for popular deep learning models.

domain-adaptation-capls

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

engine-cuda

engine-cuda is a CUDA/OpenCL engine for the popular OpenSSL cryptography framework.

freeibis

An efficient basecaller for Illumina sequencers with calibrated quality scores

gzsda

Pytorch implementation for the paper Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders

hellowangqian.github.io

Qian Wang's Homepage

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

multi-label-image-classification

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

oslpp

open-set domain adaptation with oslpp

publication_fingerprint

code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"

pytorch_nms

CUDA implementation of NMS for PyTorch

scs-lp-pda

Source Class Selection with Label Propagation for Partial Domain Adaptation

sganet-crowd-counting

Pytorch implementation of SGANet for crowd counting

three.js

JavaScript 3D Library.

uda-norm-vae

Pytorch implementation for the paper: Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation

video-classification-2-stream-cnn

Video Classification using 2 stream CNN

weibosuperspider

最强微博爬虫，用户、话题、评论一网打尽。