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Name: Kendrick Mendiola
Type: User
Bio: Marketing Analytics | Chemical Engineering | Machine Learning & AI
Name: Kendrick Mendiola
Type: User
Bio: Marketing Analytics | Chemical Engineering | Machine Learning & AI
Selection of resources to learn Artificial Intelligence / Machine Learning / Deep Learning
Data collection for Airbnb listings.
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Deliberate Practice for Learning Causal Inference
Compilation of R and Python programming codes
Additional Material for the MOOC on Data Science for Environmental Modelling and Renewables
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Just random stuff
Knowledge Vault for Introduction to Statistical Learning
Oxford Deep NLP 2017 course
Machine Learning for finance and investment introduction
the best machine learning tutorials on the web
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
YSDA course in Natural Language Processing
Implementation of a hierarchical CNN based model to detect Big Five personality traits
š A practical approach to learning and using machine learning.
Python Data Science Handbook: full text in Jupyter Notebooks
Deep Learning (with PyTorch)
Step Into the AI Era: Chatbots that know if you are angry - a workshop to build a chatbot using Rasa
Statistical Rethinking course and book package
Step into the AI Era: Deep Reinforcement Learning Workshop
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
StyleGAN - Official TensorFlow Implementation
Implementations of CNNs, RNNs, GANs, etc
Code that accompanies my talk at TF Dev Summit 2016
š¤ Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Unsupervised Data Augmentation (UDA)
This repo contains all the lab work done as part of the online course 'Deep Learning A-Zā¢: Hands-On Artificial Neural Networks'. Created by Kirill Eremenko and Hadelin de Ponteves and SuperDataScience team on Udemy.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.