Name: Sandra Yojana Meneses
Type: User
Bio: ML Engineer
Location: Berlin, Germany
Not so active at the moment, doing RLHF with a new human being. 🐣
I am a Machine Learning engineer and architect of end-to-end solutions, focused on NLP and Graph Learning. My current goals are to become a better technical writer and continue contributing to Open Source projects.
Connect with me on LinkedIn.
Made with ❤️ in 🇨🇴
arviz
Exploratory analysis of Bayesian models with Python
arviz-project
ArviZ project wide website, documents, logos and governance
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
blog
Hosting the scikit-learn blog.
data-umbrella-website
data_science_projects
Guide for data science projects coded in python
datasciencecoursera
datasciencecoursera
dlfc-fastai-pytorch
Deep Learning for Coders: Exercises and Questionnaires using PyTorch and Fastai
ds_proj_ex
Example using templeate for data science projects
dummy_titanic
Machine learning project example
event-board-api
Data Umbrella: Community Events Board
event-board-web
event-transcripts
Transcripts from Data Umbrella recorded events
fastbook
Draft of the fastai book
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
getcleandata_courseproject
Getting and cleaning data - Course Project
leafletmap_shiny
Gross debt - Eurostat
machlearn_courseproject
Practical Machine Learning Course Project
mlflow
Open source platform for the machine learning lifecycle
mls-c01
Review material and practical exercises for the Machine Learning - Specialty (MLS-C01) exam
nlp-with-transformers
Jupyter notebooks for the Natural Language Processing with Transformers book
prices-dashboard
Dashboard for fuel prices.
pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
pymc-data-umbrella
Website and materials for the upcoming PyMC sprint
pymc-examples
Examples of PyMC models, including a library of Jupyter notebooks.
pymc.io
PyMC project website and blog!
resources
PyMC3 educational resources
rmode
R package created as example
sbm
Scalable Bayesian Modelling: A comparison
scikit-learn
scikit-learn: machine learning in Python
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
