Hopeattention's Stars
pytorch/botorch
Bayesian optimization in PyTorch
Mingyue-Cheng/ConvTimeNet
yisol/IDM-VTON
[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
lss-1138/SparseTSF
[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Pengcheng Laboratory.
HVision-NKU/StoryDiffusion
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
Xiaocai-Zhang/ARDE-N-BEATS
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
keon/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
amirhnazerii/RSS_LSTM_Forecast
5G vehicle-to-vehicle Received Signal Strength Forecaster using LSTM
personqianduixue/Math_Model
数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法
salesforce/woad-pytorch
This is the pytorch implementation of WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos (CVPR2021).
ashrafalaghbari/GA-TCN-LSTM
An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
ru0nan/Queuing-system-optimization
GA，PSO，LSTM...
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Jerry-Github-Cloud/IEEE-ICCE-RL-JSP
Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling
olsson-group/RL-GraphINVENT
RL-GraphINVENT is a platform for graph-based targeted molecular generation using graph neural networks and reinforcement learning. RL-GraphINVENT uses a Gated Graph Neural Network -based model fine-tuned using reinforcement learning to probabilistically generate new molecules with desired property profiles.
albertwy/BiLSTM
macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
salesforce/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
amitesh863/nbeats_forecast
N-Beats library implementation
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
google-research/google-research
Google Research
HuangCongQing/Data-Preprocessing
数据预处理
irenekarijadi/CEEMDAN-EWT-LSTM
Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
BatchClayderman/CEEMDAN-SE-GWO-LSTM
NoahYL/JD20210916
CEEMDAN+SampleEntropy+LSTM+RF
irenekarijadi/RF-LSTM-CEEMDAN
Building energy consumption prediction using hybrid RF-LSTM based CEEMDAN method
GivyBoy/CEEMDAN-and-LSTM-CNN-CBAM
This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanhui Liang, Yu Lin, and Qin Lu.