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

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。

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

CNN, LSTM, NBOW, fasttext 中文文本分类

Implementation of State-of-the-art Text Classification Models in Pytorch

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

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

copper price(time series) prediction using bpnn and lstm

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)

Enhanced BiLSTM Inference Model for Natural Language Inference

Chinese Poetry Generation

Sorting numbers with pointer networks

All about Neural Networks!

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

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

Natural Language Processing with TensorFlow, published by Packt

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Implementation of Algorthmic Prediction of Candle Patterns

RNN based Time-series Anomaly detector model implemented in Pytorch.

An implementation of attention-based neural machine translation using Pytorch

NN based lossless compression

Time series prediction with Sequential Model and LSTM units

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

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

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

List of papers, code and experiments using deep learning for time series forecasting

A LSTM model using Risk Estimation loss function for stock trades in market

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

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

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

Deep Learning

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

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).

Neural network that solves math equations on the character level

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

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

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

Deep learning driven jazz generation using Keras & Theano!

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

LSTM based human activity recognition using smart phone sensor dataset

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

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Video prediction using lstm and unet

RNN-LSTM that learns passwords from a starting list

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

nlp lecture-notes and source code

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.

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

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

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

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

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).