End-to-End Speech Processing Toolkit
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Updated
Jun 12, 2024 - Python
End-to-End Speech Processing Toolkit
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
A neural network for end-to-end speech denoising
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
End-to-End Google Cloud CI/CD example repo and tutorial
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
End-to-End Automatic Speech Recognition on PyTorch
End-to-End Neural Diarization
A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.
RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2
[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
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