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Name: Charlie Lew
Type: User
Bio: Loves Machine Learning, Fluid Mechanics, and Blockchain technology.
Location: Seattle, WA
Name: Charlie Lew
Type: User
Bio: Loves Machine Learning, Fluid Mechanics, and Blockchain technology.
Location: Seattle, WA
Build sim from data for use in reinforcement learning and bonsai platform for machine teaching.
Quickly and accurately render even the largest data.
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Repo for the Deep Reinforcement Learning Nanodegree program
Hands-on Deep Reinforcement Learning, published by Packt
This repository accompanies my forthcoming book "Deep Learning for Vision Systems"
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
This repository contains implementations and illustrative code to accompany DeepMind publications
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Deep learning library for solving differential equations and more
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Using machine learning to predict timeseries demand forecast
Deployment Manager samples and templates.
CS 198-077 Blockchain for Developers DeCal Spring 2020: Taught at UC Berkeley during the Spring 2020 semester by the Blockchain at Berkeley Education Department.
DIAMBRA Environment
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
Solutions for assignments of the Coursera course "Discrete Optimization"
legend
My Docker image for running Stylegan2 ADA with GPU
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
Metis Data Science Bootcamp - Official Prework Repository
R package implementing edge bundling algorithms
Extended Kalman Filter for aircraft dynamics
Slides for a forecasting course based on "Forecasting: Principles and Practice"
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.