nareshram256 Goto Github PK

gams-power-market

gan_numpy

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

gnn

Notes on Graph Neural Networks!!

gnn-tutorial

Graph Neural Network Tutorial

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt3-email-generator

Using the GPT3 Language model, I create a web application that generates convincing looking emails and then sends them via Gmail. The user interacts with a frontend made with Streamlit

graph-adversarial-learning

A curated collection of adversarial attack and defense on graph data.

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graph-neural-nets

Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)

graph_learning

Graph Learning from Data

graph_theory_scribe_notes

graphtheorysummary

LaTeX-ed collection of all Theorems, Definition, etc. from the lecture notes to the course "Graph Theory" taught by Benny Sudakov and the corresponding exercises from FS 2018

grid_forming

grid_robust_optimization

Optimization planning tools for the minimization of loss of load in cascading failures of power grids

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ieee_14_python

ieee14bus_python load flow

imputationdjango

imputefin

Imputation of Financial Time Series with Missing Values and/or Outliers

information-theory-deep-learning

Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning

informer2020

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

irep_2022_closing_the_loop

Implementation of the work "Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems" submitted to IREP 2022

jigendg

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

jigsawpuzzlepytorch

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

knowledge-base

A knowledge share repository for Tsinghua University Information Management and Information Systems.

kvae

Kalman Variational Auto-Encoder

latexify_py

Generates LaTeX math description from Python functions.

learn-datascience-for-free

learn-graph-laplacian

Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations