RmdlRMDL: Random Multimodel Deep Learning for Classification
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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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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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Recsys计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
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Graph NetworksA list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
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Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Deep GenerationI used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
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Recsys2019 deeplearning evaluationThis is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
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Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
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Simple Chatbot KerasDesign and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
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OpenrecOpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
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CarskitJava-Based Context-aware Recommendation Library
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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
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Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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SangitaA Natural Language Toolkit for Indian Languages
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Char rnn lm zhlanguage model in Chinese,基于Pytorch官方文档实现
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Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
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Video2descriptionVideo to Text: Generates description in natural language for given video (Video Captioning)
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TensorrecA TensorFlow recommendation algorithm and framework in Python.
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Seldon ServerMachine Learning Platform and Recommendation Engine built on Kubernetes
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Sarcasm DetectionDetecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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RecnnReinforced Recommendation toolkit built around pytorch 1.7
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Postgres Word2vecutils to use word embedding like word2vec vectors in a postgres database
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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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Dict2vecDict2vec is a framework to learn word embeddings using lexical dictionaries.
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RecommendersBest Practices on Recommendation Systems
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Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
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Numpy MlMachine learning, in numpy
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TagrecTowards A Standardized Tag Recommender Benchmarking Framework
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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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RnnvisA visualization tool for understanding and debugging RNNs
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Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
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JlmA fast LSTM Language Model for large vocabulary language like Japanese and Chinese
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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MagnitudeA fast, efficient universal vector embedding utility package.
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Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
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Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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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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Rnn recsysOur implementation of the paper "Embedding-based News Recommendation for Millions of Users"
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Pytorch convlstmconvolutional lstm implementation in pytorch
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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Midi RnnGenerate monophonic melodies with machine learning using a basic LSTM RNN
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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