Ramanarayan Mohanty's repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
Python
All Algorithms implemented in Python
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
GNNZeroToAll
Simple Graph Neural Networks(GNN) Tutorials Zero to ALL
DIG
A library for graph deep learning research
masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
python-scripts
Command line Python scripts
WSDM21-Hands-on-Tutorial
Scalable Graph Neural Networks with Deep Graph Library
The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
grover
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
DL4MolecularGraph
Literature of deep learning for graphs in Chemistry and Biology
KDD20-Hands-on-Tutorial
Scalable Graph Neural Networks with Deep Graph Library
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
GraphNorm
The official implementation of Graph Normalization
deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
dl-colab-notebooks
Try out deep learning models online on Google Colab
gnn-model-explainer
gnn explainer
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration