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Name: Paul Kim
Type: User
Bio: ML.Data Engineer. RL awesome
Location: Seoul
Name: Paul Kim
Type: User
Bio: ML.Data Engineer. RL awesome
Location: Seoul
Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes
Guides and docs to help you get up and running with Airflow and Astronomer
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
AWS Analytics Immersion Day - Build Business Intelligence System from Scratch
Korean version of the labs for AZ-103
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
pytorch, CapsNet
Differentiable architecture search for convolutional and recurrent networks
pytorch with dcgan(MNIST, CelebA)
Deep Learning Timeseries / MI-LSTM
A list of recent papers regarding deep reinforcement learning
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
DRAW: A Recurrent Neural Network For Image Generation(https://arxiv.org/pdf/1502.04623.pdf)
Elasticsearch / Kibana / Logstash
Train embodied agents that can answer questions in environments
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
remind basic generative model
Gibson Environments: Real-World Perception for Embodied Agents
GoogleNet
pytorch, pix2pix, CycleGAN, DiscoGAN, BicycleGAN, UNIT, MUNIT, pix2pixHD, vid2vid
Code from the Kubernetes in Action book
A list of current SLAM (Simultaneous Localization and Mapping) / VO (Visual Odometry) algorithms
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
OpenCV_tutorial
This will contain my notes for research papers that I read.
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.