Pinned Repositories
amazon-sentiment
ASNE
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Auto-MPG-MAchine-Learning
This is my first end-to-end machine lerning project, you can follow along in the report and look at the code. If you notice anything that could be done different I would love to hear about it, enjoy!
AV_ml_practice
dataset_practice
kaggle dataset practise
django_forum
NilSagor's Repositories
NilSagor/ASNE
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
NilSagor/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
NilSagor/dataset_practice
kaggle dataset practise
NilSagor/Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
NilSagor/CAN-Pytorch
NilSagor/CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
NilSagor/CS6910-Deep-Learning-Assignment-1
Assignment 1 submission for the course CS6910 Fundamentals of Deep Learning (Spring 2021 Semester); Team members - N Sowmya Manojna (BE17B007), Shubham Kashyapi (MM16B027)
NilSagor/curriculumApp
NilSagor/deep-learning-physics
NilSagor/Deep_Graph_Library_Tutorials
Tutorials on creating Graph Neural Networks (GNNs) with Deep Graph Library (DGL)
NilSagor/django_taxiapp
NilSagor/Explore_GCN
Explore Graph Convolutional Networks
NilSagor/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
NilSagor/glioma_molecular_3D
Code for paper: https://doi.org/10.1093/noajnl/vdad023
NilSagor/gnns_in_action
Code and Content for Manning Publication on Graph Neural Networks
NilSagor/graph_actions
NilSagor/KGE
Some papers on Knowledge Graph Embedding(KGE)
NilSagor/machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
NilSagor/ML_Notebooks
A repository for public Machine Learning notebooks I have created
NilSagor/MMDNE
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
NilSagor/nilsagor.github.io
NilSagor/pandas_exercises
Practice your pandas skills!
NilSagor/post--gnn-intro
NilSagor/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
NilSagor/pytorch_tutorials
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
NilSagor/relief
NilSagor/remote_sense_techniques
Techniques for deep learning with satellite & aerial imagery
NilSagor/SCAN-Pytorch
NilSagor/stellargraph
StellarGraph - Machine Learning on Graphs
NilSagor/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition