lonly7star's repositories
api-python
Python client library to access Data Commons
typeguard
Run-time type checker for Python
shub
Scrapinghub Command Line Client
metaflow
:rocket: Build and manage real-life data science projects with ease!
factiva-news-python
Python package to interact with Factiva news-related APIs. Services are described in the Dow Jones Developer Platform.
python-dotenv
Get and set values in your .env file in local and production servers. :tada:
tuna
:fish: Python profile viewer
Pyro5
Pyro 5 - Python remote objects for modern python versions
serpextract
Easy extraction of keywords and engines from search engine results pages (SERPs).
spidermon
Scrapy Extension for monitoring spiders execution.
regex4ocr
Plug regular expression models into OCR string results of document pictures to extract structured data!
icloud_photos_downloader
A command-line tool to download photos from iCloud
sphinx-gallery
Sphinx extension for automatic generation of an example gallery
codespell
check code for common misspellings
carbonize
A collection of carbon footprint calculators.
lonly7star
Config files for my GitHub profile.
abagen
A toolbox for working with Allen Human Brain Atlas microarray expression data
wasabi
Wasabi A/B Testing service is an open source project that is no longer under active development or being supported
ormlite-core
Core ORMLite functionality that provides a lite Java ORM in conjunction with ormlite-jdbc or ormlite-android
Recommendation-systems
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
maoxiaoke.github.io
A blog template, powered by Jekyll
just-the-docs
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
rxpy-backpressure
Back pressure strategies for use with RxPy
OpenCL-Headers
Khronos OpenCL-Headers
Test
test for eng331
BlackDoc
A two-column Jekyll theme for websites that require a master-detail layout for viewing of content