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Anomaly Detection example using Multivariate Gaussian Distribution and Apache Spark MLlib
the AI-native open-source embedding database
Convolutional Neural Network for Text Classification in Tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)
Library for fast text representation and classification.
All that entity matching, resolution, normalization, enhancement and reconciliation madness, but with a focus on data, not platforms.
Crawl a site to generate knowledge files to create your own custom GPT from a URL
A R shiny app to visualise text data
Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)
Updated code for the Learning Data Mining With Python book
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
The OS for your personal finances
Python scripts and datasets used in the Course: "Data Mining and Modelling" from http://emap.fgv.br/
Models and examples built with TensorFlow
The project implemented some machine learning algorithms on spark which is written in scala and it also included standalone implementations of these algorithms.
News recommendation system based on spark.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
The "Python Machine Learning (2nd edition)" book code repository and info resource
PyTorch implementations of various DRL algorithms for both single agent and multi-agent.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repo is for a reinforcement learning project using citiBike data
A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm
Building a quick conversation-based search demo with Lepton AI.
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.