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Name: HuaHuaOnigiri
Type: User
Name: HuaHuaOnigiri
Type: User
Airflow Examples
Apache Beam
Reinforcement learning resources curated
Kick off apache-beam
🌈 原创&翻译 🌈
Samples for Google Cloud Machine Learning Engine
吴恩达老师的机器学习课程个人笔记
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning Book Chinese Translation
Distributed TensorFlow basics and examples of training algorithms
TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
Tutorial on basic usage of tf
CW01_Diana's Code
[WIP] Google Calendar Analytics is designed to track and summarize events time in different catagories. Events are tagged with different labels. eg. Algo: Review Data Structure
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
TensorFlow implemenation of GRu4Rec model
:calendar: 准备秋招学习笔记
This is a personalised machine learning cheat sheet. Link to the original edition is given.
machine learning and deep learning tutorials, articles and other resources
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Machine Learning with TensorFlow on Google Cloud Platform:
Models and examples built with TensorFlow
Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.
Neural Collaborative Filtering
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code samples used on cloud.google.com
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.