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Name: Liang
Type: User
Bio: Data Scientist
Location: Singapore
Name: Liang
Type: User
Bio: Data Scientist
Location: Singapore
100 Days of ML Coding
AIND Term 2 -- Lesson on Convolutional Neural Networks
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
A curated list of awesome machine learning interpretability resources.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A Python implementation of global optimization with gaussian processes.
Comparisons between best subset selection and other popular estimators for sparse regression
Convolutional Neural Network for Text Classification in Tensorflow
My version of CNNs for sentence classification
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
Seminars DeepBayes Summer School 2018
Deep Learning与PyTorch入门实战视频教程
LaTeX files for the Deep Learning book notation
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
:newspaper: a knowledge base construction engine for richly formatted data
This repo. is functionality scenario test "Task A" for building AI Infrastructure, including train.py, pretrain model and image samples.
2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
:memo: 准备秋招学习笔记
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
《统计学习方法》的代码实现
Mathematical derivation and pure Python code implementation of machine learning algorithms.
周志华《机器学习》手推笔记
Coding the Machine Learning Tutorial for Learning to Learn
MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
Models and examples built with TensorFlow
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.