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2020-zhanjiang-underwater-object-detection-algorithm-contest

2020湛江水下目标检测算法赛

ai-challenger-2018-cropdisease

aivoiceprint

集美大学人工智能期末作业，实现通过声纹识别人物

baidupcs-web

biconvlstm_violence_detection

This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movies and Violent Flows were used in this work.

cascade-rcnn_pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

chatbot_s2s

训练端到端的对话模型，使用ddq学习对话策略，提供对话rest服务

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chineseocr

yolo3+ocr

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deep-learning

:computer:深度学习实战：实战教程、手写数字识别、Discuz验证码识别

deeplab-v3-plus-cityscapes

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

deeplab-v3-plus-pytorch-

Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

deeplabv3.pytorch

PyTorch implementation of DeepLabv3

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dfanet

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

docs-l10n

Community translations of TensorFlow documentation

eco-pytorch

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

fall-detection

a very simple Fall-detection（摔倒/跌倒检测）using yolo2

fall-detection-1

Non-invasive Fall Detection with Keras and Tensorflow

fall-detection-2

Human Fall Detection from CCTV camera feed

fall-detection-3

A simple fall detection demo based on openpose

falldetection

Fall Detection using OpenPose for 2D image

falldetection_mobilenet

Real-time single subject fall detection using MobileNetV2 pose estimation

falldetection_openpifpaf

Fall Detection using OpenPifPaf's Human Pose Estimation model

feelvos

FEELVOS implementation in PyTorch; FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

few-shot-vid2vid

Pytorch implementation for few-shot photorealistic video-to-video translation.