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Video Classification with Transformers
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
A practical implementation of sign language estimation using an LSTM NN built on TF Keras.
A curated list of action recognition and related area resources
A curated list of resources dedicated to RNN
Coursera's Machine Learning by Andrew Ng
[CVPR'22] DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')
Course notebooks for GANs specializations
Imperial group software engineering project. We built the world's first multi-target human activity recognition (HAR) dataset and detected human motion with 3 types of DL models: CNN, LSTM, and transformer.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
HAR using YOLO
Notebooks and code for the book "Introduction to Machine Learning with Python"
Code for the paper "Generative Adversarial Graph Convolutional Networks for Human Action Synthesis", WACV 2022
Journey through data analysis
Public repo for DeepLearning.AI MLEP Specialization
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
Implements Naive Bayes and Gaussian Naive Bayes Machine learning Classification algorithms from scratch in Python.
A hyperparameter optimization framework
Scratch Implementations of Major Machine Learning Algorithms
Samples to demonstrate use of the WebXR Device API
Repository for Sign Language Action Detection using LSTM Deep Neural Network. Achieved an accuracy of 90%. Trained and test in real time.
Public facing repo for TensorFlow Advanced Techniques specialization
Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
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.