dstaka Goto Github PK
Type: User
Bio: Data Scientist working in Singapore
Type: User
Bio: Data Scientist working in Singapore
TensorFlow code and pre-trained models for BERT
:bathtub: Clean Code concepts adapted for machine learning and data science (Repo for CircleCI test)
A complete computer science study plan to become a software engineer.
Python scripts for training/testing paragraph vectors
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Library for fast text representation and classification.
Python Stream Processing
Topic Modelling for Humans
Starting code for the GildedRose Refactoring Kata in many programming languages.
This repository is deliverables of Safety challenge in Grab AI for SEA.
temporary map
Code for my presentation at Python User Group Singapore 2019 meetup
Demo codes for PyCon SG 2019
A Python library for building robust production-ready data and analytics pipelines.
Keras implementations of Generative Adversarial Networks.
Learning-to-Rank for Apache Lucene
A fast, efficient universal vector embedding utility package.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Open source platform for the machine learning lifecycle
Next RecSys Library
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Best Practices on Recommendation Systems
RecQ: A Python Framework for Recommender Systems (TensorFlow Based)
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
Sentence Embeddings with BERT & XLNet
DataStax Spark Cassandra Connector
Sequential Variational Autoencoders for Collaborative Filtering
Source code for Twitter's Recommendation Algorithm
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.