607 Open source projects that are alternatives of or similar to 5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8

Anomaly detection implemented in Keras

Pytorch 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

CRNN with attention to do OCR,add Chinese recognition

Anomaly detection for streaming data using autoencoders

Alternative approach for Adaptive Computation Time in TensorFlow

📚 Text classification library with Keras

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

End-2-end speech synthesis with recurrent neural networks

GANs for time series generation in pytorch

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

LSTM-CRF for NER with ConLL-2002 dataset

🥕 Evolutionary Neural Networks in JavaScript

The deeplearning algorithms implemented by tensorflow

LSTM based on go and gorgonia

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

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

stock predict by cnn and lstm

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Using Machine Learning to predict the type of exercise from movement data

A Simple Finite Element Method program (AsFem)

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Machine learning, in numpy

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

1st 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)

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

A Natural Language Toolkit for Indian Languages

Core functionality for the Autonomio augmented intelligence workbench.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

Efficient and easy to use transliteration for Indian languages

TensorFlow template application for deep learning

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

Keras implementation of video classifier

lidc nodule detection with CNN and LSTM network

Char RNN Language Model based on Tensorflow

This repository is a reproduction of the clockwork RNN paper.

Another attempt to use Deep-Learning in the financial markets

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

keras를 이용한 딥러닝 기초 학습

Sarcasm detection on tweets using neural network

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

LSTM and QRNN Language Model Toolkit for PyTorch

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Another archive cracker created in python | cracking [zip/7z/rar] by bruteforcing [ NOT MAINTAINED ]