cupb-haohaoxuexi Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

deepxde

A library for scientific machine learning and physics-informed learning

flowtorch

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

gcn-tffc

比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。

lstm

基于LSTM的时间序列预测研究

lstm-svm-rf-time-serie-lstm-s

Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。

lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

multivariate-time-series-forecasting-keras

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

pinns_cylinder

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

pyfluent

Pythonic interface to Ansys Fluent

staidy

Code for CFDNet and SURFNet

time-series-prediction

Time series deep learning models in TensorFlow-TFTS

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

transformer-for-time-series-forecasting-

Time series forecasting by transformer

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model