DreamSeeker2

deepwalk

DeepWalk - Deep Learning for Graphs

EasyTransfer

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

Android-ConsGenius

中医体质判别,严格按照中华医学会相关标准制定

NucleiSegmentation

cGAN-based Multi Organ Nuclei Segmentation

ncbi-genome-download

Scripts to download genomes from the NCBI FTP servers

Learnbale_Bandpass_Filter

Image Demoireing with Learnable Bandpass Filters. (CVPR, 2020)(Keras+TensorFlow)

saffrontree

SaffronTree: Reference free rapid phylogenetic tree construction from raw read data

Stereo_matching

Siamese stereo matching CNN for 3D reconstruction

deep-motion-editing

An end-to-end motion editing library for 3D character animation in deep learning

KinVer

Kinship verification project

KinNet

vision-kinshipextraction

Extract kinship relationships from photographs using facial similarities

MLFinal

LFL-KIN

Linear Feature Learning for Kinship Verification

Gene2vec

Gene2Vec: Distributed Representation of Genes Based on Co-Expression

fnm

Unsupervised Face Normalization with Extreme Pose and Expression in the Wild (CVPR2019).

kinship_prediction

Deep Neural Networks for Kinship prediction using face photos

FIW_KRT

Families In the WIld: A Kinship Recogntion Toolbox.

node2vec

BertSimilarity

Computing similarity of two sentences with google's BERT algorithm。利用Bert计算句子相似度。语义相似度计算。文本相似度计算。

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

bert

TensorFlow code and pre-trained models for BERT

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

bert

TensorFlow code and pre-trained models for BERT

dna2vec

dna2vec: Consistent vector representations of variable-length k-mers

KinshipVerification

Kinship Verification implemented in Python

iPhone_depth

Amazing-ARkit

ARKit相关资源汇总 群：326705018

mc-dc

Demonstration code for Marching Cubes and Dual Contouring

deep_marching_cubes

Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018