triper1022 Goto Github PK
Name: Marco, Chang
Type: User
Bio: Read and learned coding from AI libraries of google, facebook, and lots of papers.
Location: Taiwan, Taipei or Tokyo
Name: Marco, Chang
Type: User
Bio: Read and learned coding from AI libraries of google, facebook, and lots of papers.
Location: Taiwan, Taipei or Tokyo
Assignments for CS294-112.
Examples using π€ Hub to share and reload machine learning models
https://www.kaggle.com/c/humpback-whale-identification
NGINX Ingress Controller for Kubernetes
Interactive Tools: Machine Learning, Deep Learning, Math, and related fields
Resources for "Introduction to Deep Learning" course.
Code for producing Japanese pretrained models provided by rinna Co., Ltd.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The jiant toolkit for general-purpose text understanding models
η»ε·΄δΈζεθ―
Official PyTorch repo for JoJoGAN: One Shot Face Stylization
jQuery JavaScript Library
context labels and pronunciation data for JSUT corpus
Open-Source Large Vocabulary Continuous Speech Recognition Engine
Official Kaggle API
Kaggle 'Microsoft Malware Classification Challenge' 3rd place solution
Code for Kaggle Data Science Competitions
This is now the official location of the Kaldi project.
Keras implementations of Generative Adversarial Networks.
Handbooks and Code Samples for Software Engineers wanting to learn the Keras Machine Learning framework
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
Bag of Tricks for Image Classification with Convolutional Neural Networks in Keras
Convenient tools for Colab
Machine Learning Toolkit for Kubernetes
The release codes of LA-MCTS with its application to Neural Architecture Search.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Auditing, performance metrics, and best practices for Progressive Web Apps
Lime: Explaining the predictions of any machine learning classifier
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.