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RecSys Challenge 2016: job recommendations
Papers on Computational Advertising
Course material for the PhD course Advanced Bayesian Learning at Linköping University
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
Google Cloud Platform Certification resources.
Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
A python tutorial on bayesian modeling techniques (PyMC3)
Pytorch implementation of BERT4Rec and Netflix VAE.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
On the Unreasonable Effectiveness of Centroids in Image Retrieval
Contrastive Language-Image Pretraining
Code to train CLIP model
[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based features
mask R-CNN multi class classification example
Official code for WACV 2021 paper - Compositional Learning of Image-Text Query for Image Retrieval
Best Practices, code samples, and documentation for Computer Vision.
Contextual Bandit Algorithms (+Bandit Algorithms)
Predict and recommend the news articles, user is most likely to click in real time.
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Programming with Python for Data Science Microsoft
MapReduce and Spark Source Code and Scripts for Data Algorithms Book
Curated list of data science interview questions and answers
Codes for Data Structures and Algorithms Using Python, Rance D. Necaise (Wiley, 2010-12-21) Python数据结构与算法
"Data Structures and Algorithms in Python" is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors take advantage of the beauty and simplicity of Python to present executable source code that is clear and concise. Furthermore, a consistent object-oriented viewpoint is retained throughout the book, including the use of inheritance, both to maximize code reuse and to draw attention to the clear similarities and differences of various abstract data types and algorithmic approaches.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.