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awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

awesome-human-pose-estimation-1

Human Pose Estimation Related Publication

awesome-python

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

awesome-reid-dataset

Collection of public available person re-identification datasets

baidu_nlp_project2

开课吧&后厂理工学院_百度NLP项目2：试题数据集多标签文本分类 Models: FastText TextCNN GCN BERT et al.

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-multi-label-text-classification

bert-multi-label-text-classification-gitversion

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert-utils

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

bert_chinese_pytorch

bert for chinese text classification

bert_for_nlp_module

Users can choose to use the BERT's sequence output or word output to complete different NLP tasks, from data loading to final result evaluation, the entire process is fully modular, and Azure pipeline can run it through. Custom layers can be built in the customer_layer.py file according to different NLP tasks. Currently, the multi-label classification and multi-class full-connection layer, lstm layer and bilstm layer have been provided, in the later stage, we can continue to improve tasks such as classification, question and answer, fill in the blanks, and translation.

bert_multi_label_text_classification

pytorch bert 版的 multi_label_text_classification

bertsum

Code for paper Fine-tune BERT for Extractive Summarization

bevdet

Official code base of the BEVDet series .

bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

bevperception-survey-recipe

Awesome BEV perception papers and cookbook for achieving SOTA results

bi-tempered-loss

Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf

bilstm-lan

Hierarchically-Refined Label Attention Network for Sequence Labeling

blog_of_baojie

Some articles written by Bao Jie

brat

brat rapid annotation tool (brat) - for all your textual annotation needs

bylabel

This is a tool for image and video annotation.

carla

Open-source simulator for autonomous driving research.

cbnetv2

cervix-roi-segmentation-by-unet

cervix_classification_gan

changedetectionmethod

This repository contains some python code of some traditional change detection methods, such as SFA, MAD, and some deep learning-based change detection methods.