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This repo contains my Pytorch and Fast.ai versions of codes written for the APTOS 2019 Blindness Detection Competition hosted on Kaggle. My approach got us 37th place on the private leaderboard.
AI for Medical Prognosis coursera
Usage of AI in Medical Prognosis
This repositary consists of all the solutions of the Quiz and Programming Assignments for the "AI for Medical Prognosis" in Coursera by deeplearning.ai. Please use this only for reference Purpose
This is the code for "AI for Healthcare" By Siraj Raval on Youtube
Coursera's AI For Medicine Specialization Coursework
A tool for retrosynthetic planning
Machine learning models for antibody sequences in PyTorch
Web interface for browsing, search and filtering recent arxiv submissions
Data professor tutorial QSAR
The objective of this project is to create a machine learning model using the ChEMBL bioactivity data, usign the power of data science for drug discovery. This project was made following a tutorial by Chanin Nantasenamat.
build-your-own-image-classifier
Message Passing Neural Networks for Molecule Property Prediction
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Colab Notebooks
Making Protein folding accessible to all!
Active Learning
The 3rd edition of course.fast.ai
Speed virtual screening by 50X
Data Science Using Python
Code for "De novo molecular design with chemical language models"
Notebooks and files from the paper De novo Design and Bioactivity Prediction of SARS-CoV-2 Main Protease Inhibitors using Recurrent Neural Network-based Transfer Learning
Deep Learning with fastai Cookbook, published by Packt
A collection of various deep learning architectures, models, and tips
生成模型已经越来越多地被提出作为分子设计问题的解决方案。然而,已经证明控制设计过程或结合先验知识具有挑战性,限制了它们在药物发现中的实际应用。特别地,生成方法有限地利用了三维(3D)结构信息,即使这对于结合是关键的。这项工作描述了一种方法,以纳入这样的信息,并证明了这样做的好处。我们将现有的基于图形的深度生成模型DeLinker与卷积神经网络相结合,以利用分子和目标药效团的物理意义上的3D表示。我们将我们的模型DEVELOP应用于连接子和R基团设计,证明了其对命中先导和先导优化的适用性。3D药效学信息导致改进的生成并允许对设计过程进行更好的控制。在多个大规模的评估中,我们表明,包括3D药效学约束导致生成的分子质量的实质性改善。在来自PDBbind的挑战性测试集上,我们的模型将生成的与原始分子
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.