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Name: Nicolas Jonsson
Type: User
Company: University of Copenhagen
Bio: PhD Student @ University of Copenhagen | Computational biology | Structural bioinformatics | Machine learning
Twitter: NicolasJonsson
Name: Nicolas Jonsson
Type: User
Company: University of Copenhagen
Bio: PhD Student @ University of Copenhagen | Computational biology | Structural bioinformatics | Machine learning
Twitter: NicolasJonsson
This is Andrew NG Coursera Handwritten Notes.
A curated list of Python libraries used for data science.
Blazingly fast and interactive file search scripts, based on FZF and BASH.
An awesome README template to jumpstart your projects!
Website to analyze conflicting assertions in ClinVar
Making Protein Design accessible to all via Google Colab!
Making Protein folding accessible to all!
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;
Cross-protein transfer learning for variant effect prediction
Coursera : Deep Learning Specialization by Andrew Ng
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Application to assign secondary structure to proteins
Exercises and supplementary material for the machine learning operations course at DTU.
This repository is a modified version of the DTU Machine Learning Operations course materials, featuring my personal solutions. Originally git cloned from https://github.com/SkafteNicki/dtu_mlops
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Evolutionary couplings from protein and RNA sequence alignments
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
Mutation effects predicted from sequence co-variation
Visually explore covariation in protein families
Git commit message: how to write a great git commit message and commit template for version control
GREMLIN is a method to learn a statistical model of a protein family that captures both conservation and co-evolution patterns in the family. The strength of measured co-evolution is strongly predictive of residue-residue contacts in the 3D structure of the protein.
Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`
Software development pipelines related to the PRISM project
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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.