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

Efficient, transparent deep learning in hundreds of lines of code.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Deep learning driven jazz generation using Keras & Theano!

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

Natural Language Processing with TensorFlow, published by Packt

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

CSKG: The CommonSense Knowledge Graph

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

Hands-on in-person workshop for Deep Learning with TensorFlow

Enhanced BiLSTM Inference Model for Natural Language Inference

RNN-LSTM that learns passwords from a starting list

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

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

Online Hand Writing Recognition using BLSTM

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

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

Deep Character CNN LSTM Encoder with Classification and Similarity Models

A siamese LSTM to detect sentence/question pairs.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

CPU and GPU implementations of some 2D RNN layers

Sentiment Analysis: Deep Bi-LSTM+attention model

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

rnn trained on r/totallynotrobots 🤖

RNNSharp 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.

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。

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Named Entity Recognition using multilayered bidirectional LSTM

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

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.

Tensorflow implementation of Synthetic Gradient for RNN (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.

Data augmentation for NLP, presented at EMNLP 2019

The Official Deep Learning Framework for Route-based Place Recognition

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

基于RNN生成古诗

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

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

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

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

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

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

Hybrid Code Networks https://arxiv.org/abs/1702.03274

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

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

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。

Haste: a fast, simple, and open RNN library

Representing research papers as vectors / latent representations.

News summarization using sequence to sequence model with attention in TensorFlow.

A neural network that transforms a design mock-up into a static website.