lancifollia Goto Github PK
Name: Seong-Jin Kim
Type: User
Company: Kakao
Location: South Korea
Name: Seong-Jin Kim
Type: User
Company: Kakao
Location: South Korea
:books: List of awesome university courses for learning Computer Science!
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
my byte arena agents
Command-Line utilities for Click (extracted from Clint).
A Tensorflow implementation of Collaborative Metric Learning (CML)
A pure-Python implementation of the Linear-Chain Conditional Random Fields
Literature references for “Designing Data-Intensive Applications”
Summaries and notes on Deep Learning research papers
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Kaggle | Instacart Market Basket Analysis🥕🥉
2nd Place Solution in Kaggle Airbnb New User Bookings competition
Code for the Kaggle Ensembling Guide Article on MLWave
1st place solution
My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
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.
Linear UCB bandit learning algorithm L Li(2010) python code
a cheat-sheet for mathematical notation in code form
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
My list of interesting machine learning resources
TOROS N2 - lightweight approximate Nearest Neighbor library which runs faster even with large datasets
Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
Summaries of machine learning papers
PRML algorithms implemented in Python
A collection of full-stack resources for programmers.
Experimental Gradient Boosting Machines in Python.
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.