StockpredictionPlain Stock Close-Price Prediction via Graves LSTM RNNs
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Pytorchtext1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
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cnn-rnn-classifierA practical example on how to combine both a CNN and a RNN to classify images.
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SangitaA Natural Language Toolkit for Indian Languages
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Char Rnn KerasTensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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cnn-rnn-bitcoinReusable CNN and RNN model doing time series binary classification
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E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
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Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
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DeepsleepnetDeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
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ACTAlternative approach for Adaptive Computation Time in TensorFlow
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
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Simple-TensorA simplification of Tensorflow Tensor Operations
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Deep-Drug-CoderA tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
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Pytorch convlstmconvolutional lstm implementation in pytorch
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dnd-lstmA Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.
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Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
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Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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Chainer Rnn NerNamed Entity Recognition with RNN, implemented by Chainer
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Charades AlgorithmsActivity Recognition Algorithms for the Charades Dataset
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Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
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Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
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Daguan 2019 rank9datagrand 2019 information extraction competition rank9
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parapredParatope Prediction using Deep Learning
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ContextConText v4: Neural networks for text categorization
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Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
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Pointer NetworksPointer Networks Implementation in Keras
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LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
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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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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
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Show and TellShow and Tell : A Neural Image Caption Generator
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nemesystGeneralised and highly customisable, hybrid-parallelism, database based, deep learning framework.
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Lstm AutoencodersAnomaly detection for streaming data using autoencoders
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Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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TCN-TFTensorFlow Implementation of TCN (Temporal Convolutional Networks)
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