bosafoagyare Goto Github PK
Name: Benjamin Osafo Agyare
Type: User
Company: Department of Statistics, The University of Michigan, Ann Arbor
Bio: Doctoral Student in Statistics at The University of Michigan, Ann Arbor
Location: Ann Arbor, MI
Name: Benjamin Osafo Agyare
Type: User
Company: Department of Statistics, The University of Michigan, Ann Arbor
Bio: Doctoral Student in Statistics at The University of Michigan, Ann Arbor
Location: Ann Arbor, MI
Course materials for STATS 810 Fall 2021, Literature proseminar with emphasis on responsible conduct of research and scholarship
Self-study on Larry Wasserman's "All of Statistics"
Applied Machine Learning with Python
A curated list of awesome network analysis resources.
Repository for course project for Machine Learning in Computational Biology
Machine Learning and Data Mining. Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.
Collection of scripts and tools related to machine learning
This is a package to implement Distributed Gradient Descent (DistGD)
Package for Generalized Expectile Estimating Equations
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.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Data Portfolio Blog
Repository for ML in Practice Course at CMU (10-718)
A Collection of Variational Autoencoders (VAE) in PyTorch.
qicpack R package
Statistical Rethinking course and book package
Extended documentation and model examples for rethinking R package
Three-Block Gibbs Sampler for Bayesian Shrinkage Models in High Dimension
My notes from class
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
Statistical Computing - source Rmarkdown files
A repository for sharing with Stats506 in Fall 2018
A repository for sharing code with Stats 506 in Fall 2019.
A repo for sharing code with students enrolled in the F20 semester of Stats 506.
Repo for STATS 507 Fall 2021
Student materials for Stats/Datasci 507, Fall 2021.
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.