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Sign Language Recognition for Deaf People
Sign Language Gesture Recognition From Video Sequences Using RNN And CNN
A sign language interpreter using live video feed from the camera.
:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python
Deep Learning Assignment for conversion of American Sign Language to Text format
Transformers made simple with training, evaluation, and prediction possible with one line each. Built on top of the Hugging Face Transformer library.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
papers on sign language recognition and related fields
Basic implementation of a social distance violation detection on any generic video using faster_rcnn from Facebook's Detectron2 and incorporating depth estimation from monodepth2 for more accurate results.
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Convert English Speech into American Sign Language using Google Cloud APIs and play animations for the gesture in Blender Game Engine (Blender 2.79).
Neural Machine Translation based on the Pytorch “Attention is all you need” Implementation
Repository accompanying the "Sign Pose-based Transformer for Word-level Sign Language Recognition" paper
CVPR2021 Challenge
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"
A reimplementation of "Spatial-Temporal Graph Convolutional Networks for Action Recognition" (Yan et al., 2018) in PyTorch, developed for the Deep Learning course at KTH
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Building Realistic Images from Your Text
The PyTorch version of STGCN.
Spatio-Temporal Graph Convolutional Networks
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
An Open Source Machine Learning Framework for Everyone
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
CNN, NLP and MXNet/Gluon demo
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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.