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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
Short notebook demo'ing different Newton's method implementations for logistic regression.
A python library for Bayesian time series modeling
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
An End-to-end Outlier Detection System
A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Learn Pyro through the M5 forecasting competition
A package for the sparse identification of nonlinear dynamical systems from data
All Algorithms implemented in Python
A series of introductory instructional python notebooks, for computational number theory.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
PyTorch Tutorial for Deep Learning Researchers
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Geometric Deep Learning Extension Library for PyTorch
PyTorch Tutorials from my YouTube channel
Library of Interesting papers related to various quantum effects and technologies, that I have read lately.
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
Code for the paper "Rational neural networks", NeurIPS 2020
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
A library of metrics for evaluating recommender systems
Recommendation System using ML and DL
Best Practices on Recommendation Systems
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement Learning algorithms (Python Tutorial)
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
PyMC3 educational resources
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.