681 Open source projects that are alternatives of or similar to Unofficial Implement Of Openpose

💃 Real-time single person pose estimation for Android and iOS.

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

OneFlow is a performance-centered and open-source deep learning framework.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

This is a list of awesome articles about object detection from video.

Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

Learn OpenCV : C++ and Python Examples

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

tf-openpose Based iOS Project

pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)

Implementation of character based convolutional neural network

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

CardIO is a library for data science research of heart signals

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Asynchronous Distributed Hyperparameter Optimization.

This work is used for pose estimation(yaw, pitch and roll) by Face landmarks(left eye, right eye, nose, left mouth, right mouth and chin)

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Season 2 of @twosigma's artificial intelligence programming challenge

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

This is a tutorial for PyTorch Geometric on the YooChoose dataset

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Sparse and structured neural attention mechanisms

Pytorch implementation for LapSRN (CVPR2017)

Artificial Intelligence Learning Notes.

oneAPI Deep Neural Network Library (oneDNN)

Train and visualize Hierarchical Attention Networks

To classify video into various classes using keras library with tensorflow as back-end.

HDLTex: Hierarchical Deep Learning for Text Classification

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Binary and Categorical Focal loss implementation in Keras.

Perception toolkit for sim2real training and validation

Understanding emotions from audio files using neural networks and multiple datasets.

A Simple and easy to use way to Visualise Embeddings!

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Various ML/DL Resources organised at a single place.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Latex code for making neural networks diagrams

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Distributed Keras Engine, Make Keras faster with only one line of code.

Appearance-and-Relation Networks

How to use TensorFlow

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Arm Machine Learning tutorials and examples

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

This is Andrew NG Coursera Handwritten Notes.

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".