lostella Goto Github PK
Name: Lorenzo Stella
Type: User
Company: AWS @aws @awslabs
Location: Berlin, Germany
Name: Lorenzo Stella
Type: User
Company: AWS @aws @awslabs
Location: Berlin, Germany
An abstract interface for automatic differentiation.
Abstract operators for large scale optimization in Julia
A Julia package for adaptive proximal gradient and primal-dual algorithms
The open source version of the Amazon SageMaker docs
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A collection of awesome resources related to the yearly Advent of Code challenge.
List of tools & datasets for anomaly detection on time-series data.
Collection of interesting technical and scientific bookmarks
a Haskell implementation of a Mastermind player
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Chronos: Pretrained Models for Time Series Forecasting
Convex potential flows
Curriculum vitae written from scratch with LaTeX, adapted from http://texblog.org/2012/04/25/writing-a-cv-in-latex/
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Numerical implementations of the Douglas-Rachford splitting (DRS), and an accelerated version of the method, for solving nonsmooth convex composite optimization problems
The official registry of general Julia packages
GluonTS - Probabilistic Time Series Modeling in Python
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
The Julia Language: A fresh approach to technical computing.
some versions of the Julia logo
(DEPRECATED: refer to https://github.com/kul-forbes/libForBES)
implemention of the L-BFGS method for smooth unconstrained optimization
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.