666 Open source projects that are alternatives of or similar to Arc Pytorch

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pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

The code for the MaD TwinNet. Demo page:

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

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THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

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List of papers, code and experiments using deep learning for time series forecasting

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Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

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LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

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Voice Activity Detection based on Deep Learning & TensorFlow

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Repository for different network models related to flow/disparity (ECCV 18)

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Programmable Neural Network Compression

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

A bidirectional LSTM with attention for multiclass/multilabel text classification.

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SWA Object Detection

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High-quality Neural Networks for Computer Vision 😎

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TensorFlow implementation of "SoundNet".

convolutional lstm implementation in pytorch

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

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Deep neural network to extract intelligent information from invoice documents.

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

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