Pinned Repositories
AI-to-forecast-constraints-in-the-energy-systems
This thesis proposes the enhancing of state estimation and constraint detection of the transmission and distribution grids through the use of machine learning methods. This contribution is relevant once the current methodology suffers from inaccurate or lack of system information in order to perform numerical methods. Taking into consideration the several machine learning techniques presented in the literature, a range of models will be tested in the framing of both classification and regression problems, with the aim of achieving accurate predictions.
ARGA
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Benchmarking_PGNN
This repositories contains the source code to carry out benchmarking of position aware graph neural networks
building-data-genome-project-2
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
CaptainBlackboard
船长关于机器学习、计算机视觉和工程技术的总结和分享
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
ChatPaper
Use ChatGPT to summary the Arxiv papers.
CircleLoss
Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
TTS_Data_Maker
Text to speech is an emerging zone of AI. This repository helps to create a dataset with audio and transcripts for personalized text to speech .
susan1314's Repositories
susan1314/TTS_Data_Maker
Text to speech is an emerging zone of AI. This repository helps to create a dataset with audio and transcripts for personalized text to speech .
susan1314/AI-to-forecast-constraints-in-the-energy-systems
This thesis proposes the enhancing of state estimation and constraint detection of the transmission and distribution grids through the use of machine learning methods. This contribution is relevant once the current methodology suffers from inaccurate or lack of system information in order to perform numerical methods. Taking into consideration the several machine learning techniques presented in the literature, a range of models will be tested in the framing of both classification and regression problems, with the aim of achieving accurate predictions.
susan1314/chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
susan1314/ChatPaper
Use ChatGPT to summary the Arxiv papers.
susan1314/cvx_short_course
Materials for a short course on convex optimization.
susan1314/cvxpy
A Python-embedded modeling language for convex optimization problems.
susan1314/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
susan1314/distribution-system-model-calibration
Algorithms for calibrating power grid distribution system models
susan1314/dizhi
雨花阁发布页
susan1314/feature_selection
This repo is to house all the algorithms related to feature selection
susan1314/featuretools
An open source python library for automated feature engineering
susan1314/Forecasting-a-Carbon-Zero-City
susan1314/GElectrical
GElectrical is a graphical frontend to pandapower for power supply simulation and analysis with emphasis on electrical distribution and utilisation networks.
susan1314/GMPT
[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".
susan1314/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
susan1314/gTTS
Python library and CLI tool to interface with Google Translate's text-to-speech API
susan1314/hierarchicalContrastiveLearning
susan1314/iris
Transformers are Sample Efficient World Models
susan1314/overleaf
A web-based collaborative LaTeX editor
susan1314/paper-reading
深度学习经典、新论文逐段精读
susan1314/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
susan1314/PiCO
PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
susan1314/Practical_RL
A course in reinforcement learning in the wild
susan1314/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
susan1314/stagin
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
susan1314/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
susan1314/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
susan1314/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
susan1314/VGAER
Simple and efficient -- a novel unsupervised community detection with the fusion of modularity and network structure
susan1314/WaveRNN
WaveRNN Vocoder + TTS