Da Rnn📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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Deep-LearningThis repo provides projects on deep-learning mainly using Tensorflow 2.0
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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ChaseAutomatic trading bot (WIP)
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Rnn lstm gesture recogFor recognising hand gestures using RNN and LSTM... Implementation in TensorFlow
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Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
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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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Awesome TensorlayerA curated list of dedicated resources and applications
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Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
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EchotorchA Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
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Cs224dCode for Stanford CS224D: deep learning for natural language understanding
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Im2latex TensorflowTensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
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ACTAlternative approach for Adaptive Computation Time in TensorFlow
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Seq2Seq-chatbotTensorFlow Implementation of Twitter Chatbot
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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SynThaiThai Word Segmentation and Part-of-Speech Tagging with Deep Learning
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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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TF-Speech-Recognition-Challenge-SolutionSource code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.
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Attention MechanismsImplementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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DARNNA Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
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Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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danifojo-2018-repeatrnnComparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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privapiDetect Sensitive REST API communication using Deep Neural Networks
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DeepLogThis is the realization of core DeepLog
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parapredParatope Prediction using Deep Learning
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pyradoxState of the Art Neural Networks for Deep Learning
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Deep SpyingSpying using Smartwatch and Deep Learning
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Deep News SummarizationNews summarization using sequence to sequence model with attention in TensorFlow.
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SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
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Mss pytorchSinging Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:
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malware api classMalware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers
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SruSRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.
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Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
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Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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Keras LmuKeras implementation of Legendre Memory Units
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
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Lrp for lstmLayer-wise Relevance Propagation (LRP) for LSTMs
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