In PyTorch Learing Neural Networks Likes CNN、BiLSTM
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Updated
Mar 20, 2023 - Python
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
Text classification using deep learning models in Pytorch
Deep Learning models for network traffic classification
A LSTM model using Risk Estimation loss function for stock trades in market
基于tensorflow lstm模型的彩票预测
Virtual walks in Google Street View using PoseNet and applying Deep Learning models to recognize actions.
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
Lyrics and rap lyrics AI-generate system based on GPT-2 and LSTM / 基于GPT-2和LSTM的歌词和说唱歌词创作系统
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
LSTM-based Models for Sentence Classification in PyTorch
Highway Networks implement in pytorch
The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
time-series prediction for predictive maintenance
In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.
Python based Quant Finance Models, Tools and Algorithmic Decision Making
虚假新闻检测 - nku 南开大学《python语言程序设计》大作业
This repo provides projects on deep-learning mainly using Tensorflow 2.0
Hierarchical Attention Network for Document Classification
Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model
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