913 Open source projects that are alternatives of or similar to Kprn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

All my experiments with AI and ML

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

copper price(time series) prediction using bpnn and lstm

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Chatbot in 200 lines of code using TensorLayer

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Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Word Embedding + LSTM + FC

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A 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.

A 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.

A cute multi-layer LSTM that can perform like a human 🎶

Data augmentation for NLP, presented at EMNLP 2019

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

All about Neural Networks!

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

基于RNN生成古诗

A 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)

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

A visualization tool for understanding and debugging RNNs

pytorch-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.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Stock Price Prediction using Machine Learning Techniques

Named Entity Recognition using multilayered bidirectional LSTM

Sentiment Analysis with LSTMs in Tensorflow

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Keras tutorial for beginners (using TF backend)

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

The Official Deep Learning Framework for Route-based Place Recognition

language model in Chinese，基于Pytorch官方文档实现

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

My Attempt(s) In The World Of ML/DL....

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Char-level RNN LSTM text generator📄.

PyTorch tutorial for learners

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

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。

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Chinese Poetry Generation

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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！

BasicOCR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。

CNN, LSTM, NBOW, fasttext 中文文本分类

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Haste: a fast, simple, and open RNN library