ashtawy Goto Github PK
Name: Hossam
Type: User
Company: MSU
Blog: http://www.ashtawy.com
Name: Hossam
Type: User
Company: MSU
Blog: http://www.ashtawy.com
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
A tool for retrosynthetic planning
Hossam Ashtawy's Personal Page
Papers about graph transformers.
ROS meets Lincoln MKZ: Driving by wire with ROS and TensorFlow
The use of kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.
Vehicle Localization Using Particle Filter
Model Predictive Control for Autonomous Vehicles
Create a path planner that is able to navigate a car safely around a virtual highway
PID Controller to drive a vehicle autonomously
Identifying roads in images using Fully Convolutional Neural Networks
Unscented Kalman Filter for Sensor Fusion
Nested Logit Model with TensorFlow
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Deep Reinforcement Learning for Highway Traffic
Code for "Diffusion Model Alignment Using Direct Preference Optimization"
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Equivariant GNN for the prediction of atomic multipoles up to quadrupoles.
Scoring of shape and ESP similarity with RDKit
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Gypsum-DL is a free, open-source program that converts 1D and 2D small-molecule representations (SMILES strings or flat SDF files) into 3D models. It outputs models with alternate ionization, tautomeric, chiral, cis/trans isomeric, and ring-conformational states.
A knowledge-based method for determining small molecule binding "hotspots".
Repository for the code associated with the paper Impact of applicability domains by Maxime Langevin et al.
InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictions
Implementing Model Predictive Control In Python (Tensorflow) and C++ (Eigen & Ipopt)
Mol-Instructions is a Large-Scale Biomolecules Instruction Dataset for Large Language Models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.