xinyyhu

Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn

PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）

PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

THU-AI-Intro-Assignments-Tests

清华大学人工智能导论（龙明盛老师）课程课件，作业以及试题

Deep-Learning-Notes

清华大学软件学院研究生课程《深度学习》的个人总结和思维导图

Client

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

PDF

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

HTV_Trans

Time series forecasting

Leddam

[ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling".

patchtst_single_channel

RevIN

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

loss-landscape

Code for visualizing the loss landscape of neural nets

TDformer

for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you very much xiyuanzh for most of the implementation of the code!

xlstm

Official repository of the xLSTM.

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

Better_LSTM_PyTorch

An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

rnn_lstm_from_scratch

How to build RNNs and LSTMs from scratch with NumPy.

Pytorch-LSTM-Stock-Price-Predict

LSTM 实现的股票最高价预测

time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

time-series-prediction-lstm-pytorch

Time Series Prediction with LSTM Using PyTorch

lstm-gru-pytorch

LSTM and GRU in PyTorch

stock_predict_with_LSTM

Predict stock with LSTM supporting pytorch, keras and tensorflow

xlstm-resources

Resources about xLSTM by Sepp Hochreiter

DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Time-series-Analysis-using-LSTM-RNN-and-GRU

Time series Analysis using LSTM,RNN and GRU with pytorch

Multivariate-Time-Series-Using-LSTM