lbaoxi 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, ... 🧠

awesome-time-series-explainability

A list of (post-hoc) XAI for time series

basicopenfoamprogrammingtutorials

Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

evolopy

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-rnd-project

This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data .

fedformer

gluonts

Probabilistic time series modeling in Python

gwo_rbf_svm

It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

libsvm-sc-reading

阅读LibSVM源码的知识整理与思考（已完结）

llm4ts

Large Language Models for Time Series.

neurips2023-one-fits-all

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

rulefit

Python implementation of the rulefit algorithm

timeseries

Implementation of deep learning models for time series in PyTorch.

timesnet

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

tlbook-code

Code for Transfer Learning book--《迁移学习导论》配套代码

transformer_timeseriesforecasting

witran