haowei772

automatic-ml-intro-tutorial-h2oai

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

caffe

Caffe: a fast open framework for deep learning.

databook_matlab

Matlab files 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 http://www.databookuw.com/

decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-residual-networks

Deep Residual Learning for Image Recognition

DeepVelo

fhir

FHIR Protocol Buffers

h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

inspect_word2vec

Python code for checking out Google's pre-trained, 3M word Word2Vec model

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Lime: Explaining the predictions of any machine learning classifier

mca

Multiple correspondence analysis

mli-resources

H2O.ai Machine Learning Interpretability Resources

nli_test_bed

Natural Language Inference Testbed

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Please-Contain-Yourself

A Docker tutorial written for people who don't actually know Docker already.

prince

:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pyls

A Python implementation of Partial Least Squares (PLS) decomposition

PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

StackNet

StackNet is a computational, scalable and analytical Meta modelling framework

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-1

Computation using data flow graphs for scalable machine learning

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

vaderSentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

word2vec_commented

Commented (but unaltered) version of original word2vec C implementation.