Currently I'm a Senior Data Scientist at Parrot Analytics
altierispeixoto Goto Github PK
Name: alt
Type: User
Company: @altierispeixoto
Location: Auckland - NZ
Name: alt
Type: User
Company: @altierispeixoto
Location: Auckland - NZ
Currently I'm a Senior Data Scientist at Parrot Analytics
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-links
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome machine learning interpretability resources.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome Python frameworks, libraries, software and resources
Youtube tutorial associated content
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
code for Data Science From Scratch book
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
Complete machine learning model codes
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Introduction to Deep Neural Networks with Keras and Tensorflow
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Deep Learning with TensorFlow, Keras, and PyTorch
Scaffold for new Data Science projects
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
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.
Intelligent Projects Using Python, published by Packt
Proof of concept app using LangChain and LLMs to retrieve information from graphs, built with the IMDB dataset
Some experiments and courses from deeplearning.ai
Content for Udacity's Machine Learning curriculum
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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.