Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Neural Network that is able to translate any sign language into text.

Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+

Preprocessing of arterial spin labeling (ASL) data

✌️ An ASL fingerspell recognition and semantic pose retrieval interface (arXiv, GitHub, YouTube)

A translator from English text to Sign Language video.

A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals

Real-time American Sign Language (ASL) interpreter using MediaPipe, Tensorflow, and Keras

Preprocessed data of SignDiff: Learning Diffusion Models for American Sign Language Production

Recognise and Learn American Sign Language

A Discord bot for learning American Sign Language (ASL)

Deep learning model to recognize different American sign language gestures and translate them to text.

🔮 Sign Language Translator for ASL with a gesture glove built for ECESCON9 contest

The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier that translates a discrete set of ASL sign language presentations from images of a hand into a response from another system.

A sign language recognition webapp I created with my code from the first Google Isolated Sign Language Recognition Competition on Kaggle where it scored 72/1165. The app was my final computational thinking project in 8th grade.

Microsoft MSASL video downloader that check and downloads valid videos that have been checked and have enough quantity

Real Time American Sign Language Estimation System built using fastai and OpenCV. Trained on ResNet-34 CNN.

Classification of signs of American Sign Language using Tensorflow

American Sign Language translation to text, using a Machine Learning Model. (🏆 3rd Place at HackHershey)