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http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html
Action Recognition using SVM, BoW pipeline
Action recognition using soft attention based deep recurrent neural networks
2016 ActivityNet action recognition challenge. CNN + LSTM approach. Multi-threaded loading.
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.
Action Recognition Toolbox for CUHKÐZ&SIAT submission to ActivityNet 2016
Caffe for Sparse and Low-rank Deep Neural Networks
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Fine-tune CNN in Keras
Code for paper: "Leveraging Hierarchical Parametric Network for Skeletal Joints Action Segmentation and Recognition"
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -
DeepLearningBook 读书会笔记及讲义
Implementation of recent Deep Learning papers
A dict parser which allows users define their own type and parser function
Code for CVPR 2016 paper "First Person Action Recognition Using Deep Learned Descriptors"
Efficient feature extraction, aggregation and classification for action recognition (CVPR 2014)
Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
kaggle mercari price suggestion challenge data
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
We implemented an online action detection program that is able to take a stream of live frames from Microsoft Kinect and detect the actions being performed in an online manner. The training on the dataset is done in a different program and the training results are supplied to this project to make the online detection.
LeetCode Problems' Solutions
LeetCode题解,151道题完整版
A List of Recommender Systems and Resources
Long-term Temporal Convolutions for Action Recognition, PAMI 2017
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
Matlab code for algorithms in PRML book
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.