An open source cybersecurity protocol for syncing decentralized graph data.
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Updated
Sep 23, 2020 - JavaScript
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An open source cybersecurity protocol for syncing decentralized graph data.
E2E test framework for Angular apps
Facebook AI Research's Automatic Speech Recognition Toolkit
Full-stack testing PHP framework
End-to-End Speech Processing Toolkit
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Tanker client-side encryption SDK for JavaScript
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
User Simulation for Task-Completion Dialogues
inspectIT is the leading Open Source APM (Application Performance Management) tool for analyzing your Java (EE) applications.
A neural network for end-to-end speech denoising
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Single Shot Text Detector with Regional Attention
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Can you check the script "data/aishell.py" ?
I got this error"
Traceback (most recent call last):
File "data/aishell.py", line 188, in <module>
tr_file_list = traverse(root, "transcript/train", search_fix="")
File "data/aishell.py", line 19, in traverse
for s_p in sorted(os.listdir(p)):
FileNotFoundError: [Errno 2] No such file or directory: 'Aishell_dataset/transcA PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.
Open-Source Toolkit for End-to-End Korean Speech Recognition.
End-to-End Neural Diarization
MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
PyTorch Implementations for End-to-End Automatic Speech Recognition
(Experimental) Real time collaborative Markdown editor with end-to-end encryption
A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
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I'd like to train this model on 8 V100 GPUs - does it support multi GPU training?