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azuredsky's Projects

flandmark icon flandmark

Open-source implementation of facial landmark detector

focal-loss-pytorch icon focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

fots icon fots

An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network

frames_chinese icon frames_chinese

Frames data set is an English set, I translate it into Chinese for nlu training.

funnlp icon funnlp

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库。

gather-tensorflow-serving icon gather-tensorflow-serving

Gather how to deploy tensorflow models using nginx, hadoop, kafka, flask, gunicorn, socketio, docker swarm, luigi spotify, airflow, celery and so much more!

gazetracking icon gazetracking

👀 Eye Tracking library easily implementable to your projects

gdlnotes icon gdlnotes

Google Deep Learning Notes(TensorFlow教程)

ghostnet icon ghostnet

SOTA lightweight CNN: "GhostNet: More Features from Cheap Operations"

glfw icon glfw

Official repository of GLFW 3.0 and beyond

globaltrack icon globaltrack

Official PyTorch implementation of "GlobalTrack: A Simple and Strong Baseline for Long-term Tracking" @ AAAI2020.

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpumex icon gpumex

clmex OPENCL to matlab,nvmex CUDA to matlab

graphonomy icon graphonomy

Graphonomy: Universal Human Parsing via Graph Transfer Learning

grt icon grt

gesture recognition toolkit

h5_to_weight_yolo3 icon h5_to_weight_yolo3

convert keras (tensorflow backend) yolov3 h5 model file to darknet yolov3 weights

har-stacked-residual-bidir-lstms icon har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

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