shandou Goto Github PK

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

feature-selection-for-machine-learning

Code Repository for the online course Feature Selection for Machine Learning

feature_engine

Feature engineering package with sklearn like functionality

gensim

Topic Modelling for Humans

gensim-data

Data repository for pretrained NLP models and NLP corpora.

geonamescache

geonamescache - a Python library for quick access to a subset of GeoNames data.

geotext

Geotext extracts country and city mentions from text

gitpod_conda

Stores gitpod configs for using conda

glossary

https://machinelearning.wtf/ - An online glossary of machine learning terms.

hands-on-gradient-boosting-with-xgboost-and-scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

handson-ml2

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.

haystack

:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

haystack-website

Haystack landing page with documentation, use cases etc.

hsmmlearn

A library for hidden semi-Markov models with explicit durations

introduction_to_pymc3

jamspell

Modern spell checking library - accurate, fast, multi-language

job-word-embeddings

Word embeddings for job postings

kaggle-homedepot

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

learning-to-rank

lifelines

Survival analysis in Python

linghu-algorithm-templete

lstm-siamese

Siamese-LSTM PyTorch Implementation for cikm 2018

machine-learning-engineering-with-python

Machine Learning Engineering with Python

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

ml-design-patterns

Software Architecture for ML engineers

ml-design-patterns-1

Source code accompanying O'Reilly book: Machine Learning Design Patterns