ToUranus's Stars
AbnerYang/2016CCF-StateGrid
CCF2016 - TNT_000二等奖作品
kuhess/pso-ann
Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)
laszukdawid/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Knight0111/SSA-LSTM
pengchen233/EEMD-LSTM-Model
基于深度学习的溶解氧时间序列预测模型
Nana0606/autoencoder
个人练习,自编码器及其变形(理论+实践)
ShiqiYu/CPP
Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.
forthespada/CS-Books
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
thuml/TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
Sanyam-Mehta/TPA-LSTM-PyTorch
This is the PyTorch implementation of TPA-LSTM
jamagola/Computed-Tomography
3D CNN
johnjim0816/leetcode
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
shunyaoshih/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
usmanjavaid90/battery_life_prediction
Implementation for data driven prediction of battery cycle life before capacity degradation
rdbraatz/data-driven-prediction-of-battery-cycle-life-before-capacity-degradation
Code for Nature energy manuscript
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
thuml/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
Analytics-for-Forecasting/msvr
MSVR (Multiple-output Support Vector Regression) python module
Sanazzzmi/hybrid-PSO_SVR
swapnil-tanpure23/Stock-Market-Prediction-Using-AI
The main goal of this project is to predict future stock prices using a regression method. I have used two algorithms in this project to build a predictive model, i.e. PSO(Particle Swarm Optimization) and SVM(Support Vector Machine). PSO algorithm is a genetic population-based optimization algorithm that selects the future number using the paramet
blitz-js/blitz
⚡️ The Missing Fullstack Toolkit for Next.js
shap/shap
A game theoretic approach to explain the output of any machine learning model.