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Asrt speechrecognitionA Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
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Keras SincnetKeras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
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Pytorch Kaldipytorch-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.
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Unet ZooA collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
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SincnetSincNet is a neural architecture for efficiently processing raw audio samples.
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Rnn Theano使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
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LightnetEfficient, transparent deep learning in hundreds of lines of code.
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Avsr Deep SpeechGoogle Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab
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Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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timit-preprocessorExtract mfcc vectors and phones from TIMIT dataset
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
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Pytorch convlstmconvolutional lstm implementation in pytorch
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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EasyocrReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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Rnn TransducerMXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
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Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
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VpilotScripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
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Har Stacked Residual Bidir LstmsUsing deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
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SwiftspeechA speech recognition framework designed for SwiftUI.
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RnnoiseRecurrent neural network for audio noise reduction
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AudioowlFast and simple music and audio analysis using RNN in Python 🕵️♀️ 🥁
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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RnnvisA visualization tool for understanding and debugging RNNs
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Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
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Rnnt Speech RecognitionEnd-to-end speech recognition using RNN Transducers in Tensorflow 2.0
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NlstmNested LSTM Cell
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Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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