kenmendiola91

AI-resources

Selection of resources to learn Artificial Intelligence / Machine Learning / Deep Learning

airbnb-data-collection

Data collection for Airbnb listings.

Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

causal-inference

Deliberate Practice for Learning Causal Inference

code

Compilation of R and Python programming codes

dsemr

Additional Material for the MOOC on Data Science for Environmental Modelling and Renewables

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ideas

Just random stuff

lectures

Oxford Deep NLP 2017 course

Machine-Learning-For-Finance

Machine Learning for finance and investment introduction

machine-learning-with-python

ML-From-Scratch

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.

nlp_course

YSDA course in Natural Language Processing

personality-detection

Implementation of a hierarchical CNN based model to detect Big Five personality traits

practicalAI

📚 A practical approach to learning and using machine learning.

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-Deep-Learning

Deep Learning (with PyTorch)

rasa_workshop

Step Into the AI Era: Chatbots that know if you are angry - a workshop to build a chatbot using Rasa

rethinking

Statistical Rethinking course and book package

rl_workshop

Step into the AI Era: Deep Reinforcement Learning Workshop

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

stylegan

StyleGAN - Official TensorFlow Implementation

Tensorflow-Programs-and-Tutorials

Implementations of CNNs, RNNs, GANs, etc

tf-dev-summit-tensorboard-tutorial

Code that accompanies my talk at TF Dev Summit 2016

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

uda

Unsupervised Data Augmentation (UDA)

Udemy_Deep_Learning_A_Z

This repo contains all the lab work done as part of the online course 'Deep Learning A-Z™: Hands-On Artificial Neural Networks'. Created by Kirill Eremenko and Hadelin de Ponteves and SuperDataScience team on Udemy.

upwork-secretary

WeatherBench

A benchmark dataset for data-driven weather forecasting