Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
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Updated
Jun 8, 2024 - Python
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
ACPI Hotpatches and Guides for the OpenCore Bootmanager. Enhance and fine-tune your system by adding devices and enabling additional features not covered in the OpenCore Install Guide.
A sign language dictionary
A simple sign language detection web app built using Next.js and Tensorflow.js. 2020 Congressional App Challenge. Winner! Developed by Mahesh Natamai and Arjun Vikram.
ASL to Speech translator.
Handy makes defining and recognizing custom hand poses in WebXR a snap!
ExploreASL: releases can be found in the main branch or within the releases tab. If you want to contribute, please contact us at [email protected]. Development details can be found under the wiki tab. Code documentation can be found on the documentation website https://exploreasl.github.io/Documentation
Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+
Signapse is an open source software tool for helping everyday people learn sign language for free!
Neural Network that is able to translate any sign language into text.
American Sign Language Detection Android App using SSD_Mobilenet | Google Colab
A Deep Learning Model to Classify ASL Alphabets (A-Z, except J & Z) and ASL Digits (0-9)
A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals
iOS app to practice ASL fingerspelling
Caffe implementation for Active Shift Layer(ASL)
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