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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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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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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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Tensorflow poems中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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HeadlinesAutomatically generate headlines to short articles
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MusicgeneratorExperiment diverse Deep learning models for music generation with TensorFlow
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Srnnsliced-rnn
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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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Wavetorch 🌊 Numerically solving and backpropagating through the wave equation
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Cs224nCS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
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Sars tutorialRepository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
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MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
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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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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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IndrnnTensorFlow implementation of Independently Recurrent Neural Networks
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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Deep SpeelingDeep Learning neural network for correcting spelling
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TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
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Tf Rnn AttentionTensorflow implementation of attention mechanism for text classification tasks.
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Rnn From ScratchImplementing Recurrent Neural Network from Scratch
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Theano Kaldi RnnTHEANO-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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Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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Seq2seq PytorchSequence to Sequence Models with PyTorch
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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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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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R NetA Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
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Wtte RnnWTTE-RNN a framework for churn and time to event prediction
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Boilerplate Dynet Rnn LmBoilerplate code for quickly getting set up to run language modeling experiments
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BitcoinforecastPredict bitcoin price with deep learning
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Rnn Nmt基于双向RNN,Attention机制的编解码神经机器翻译模型
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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