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keras_realtime_multi-person_pose_estimation

Keras version of Realtime Multi-Person Pose Estimation project

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lighting-the-darkness-in-the-deep-learning-era-open

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mitie

MITIE: library and tools for information extraction

mnasnet_tensorflow

MNASNET Tensorflow

mobilenetv3

A Keras implementation of MobileNetV3.

models

Models and examples built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

neural-style-tf

TensorFlow (Python API) implementation of Neural Style

nilm-papers-with-code

An archive for NILM papers with source code and other supplemental material

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

nilmtk-contrib

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nltk_data

NLTK Data

numpy-ml

Machine learning, in numpy

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

opencv-learning-tutorials

opendial

A generic Java toolkit for building dialogue systems

opennem

Energy market data access platform

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddlefl

Federated Deep Learning in PaddlePaddle

paddlehub

A toolkit for managing pretrained models of PaddlePaddle and helping user getting started with transfer learning more efficiently. （『飞桨』预训练模型管理和迁移学习工具 ）

palm

PALM (PArallel Learning from Multi-tasks) is a flexible, general and easy-to-use NLP large-scale pretraining and multi-task learning framework.

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

plaid

IPython Notebook to explore PLAID dataset

play-with-data-structures-java

Codes of my MOOC Course <Play Data Structures in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转数据结构》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

pruned-nilm

This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.