1222 Open source projects that are alternatives of or similar to Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch

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

📚 Text classification library with Keras

document classification using LSTM + self attention

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

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

Char-level RNN LSTM text generator📄.

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

PyTorch tutorial for learners

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

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).

Collection of custom layers and utility functions for Keras which are missing in the main framework.

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).

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)

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

The Official Deep Learning Framework for Route-based Place Recognition

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

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

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Deep Learning

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

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

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

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

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.

Reasoning Over Knowledge Graph Paths for Recommendation

Online Hand Writing Recognition using BLSTM

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Video prediction using lstm and unet

Deep learning driven jazz generation using Keras & Theano!

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

nlp lecture-notes and source code

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

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Some of the ML and DL related reading materials, research papers that I've read

NN based lossless compression

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

seq2seq attention tensorflow textrank context

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Recurrent Additive Networks for Tensorflow

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

RNN-LSTM that learns passwords from a starting list

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

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

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

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)

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

LSTM based human activity recognition using smart phone sensor dataset

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

A PyTorch Implementation of "Attention Is All You Need"