azuredsky,azuredsky,github

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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_face_antispoofing

Single Shot Face Anti-spoofing.

background-matting

Background Matting: The World is Your Green Screen

baidu_images

baike

爬虫：百度百科，互动百科，中文和英文维基百科，信息框（Infobox）

bamse

Bone/Air conducted speech signal enhancement exploiting multi-modal framework

bayes_classifier

Medical Bayes Classifier

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert-classification-tutorial

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert_chinese_pytorch

bert for chinese text classification

bgslibrary

A Background Subtraction Library

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

bilstm_cnn_crf_cws

BiLstm+CNN+CRF 法律文档（合同类案件）领域分词（100篇标注样本）

bisenet

Add bisenetv2. My implementation of BiSeNet

blood-cell-type-identification-using-cnn-classifier

Notebook providing solution for kaggle dataset to classify blood cell types (Built using Convolution Neural Network)

bloodcellsimageclassifier

A generic ResNet transfer learning on Keras (ResNet50) to classify blood cell images

bob

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.