My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

What you need to process the Quarterly DepMap-Omics releases from Terra

Scripts supporting TRANSACT manuscript

Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)

ASHWIN SRINIVASAN

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge

Cancer Drug Response prediction using a Recommender System

Based on our paper "Pneumonia Detection from Chest X-ray Images using a Novel Weighted Average Ensemble Model" published in Nature- PlosOne

[IJMS 2022] DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer

Repo for SWOT artificial neural network analytics built in Python

Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and th…

Creating a basic Blockchain network using the IBM Blockchain Platform

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Jupyter metapackage for installation, docs and chat

[DEPRECATED] Data pipeline for machine learning with OpenStreetMap

Train a deep learning net with OpenStreetMap features and satellite imagery.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Deep networks for Earth Observation

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Deep networks for Earth Observation