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Name: Renoir Fortytwo
Type: User
Bio: ML, Crypto, Applied mathematics, Hardware optimization (experience at an FPGA company). Remoting is an option. Collector of interesting stuff.
Location: Seoul
Name: Renoir Fortytwo
Type: User
Bio: ML, Crypto, Applied mathematics, Hardware optimization (experience at an FPGA company). Remoting is an option. Collector of interesting stuff.
Location: Seoul
Picture and specifications scraper
This research paper aims to predict the box office profit of a movie using a clustering and random forest based ensemble technique. The motivation behind this comes from the need of better predictive techniques in the movie industry owing to its unpredictable nature. The literature survey found meta data and social data to be important factors in predicting a movies box-office success. The use of clustering and random forest ensemble provided an accuracy of 78 percent on the training data and 62 percent on unseen or test data with a correlation of 78 percent between actual and predicted values. The variable importance chart showcased the budget, budget year ratio, release month, run time, genre, collection and review sentiment score to be influential in the profitability of a movie. The business use cases for this model and data considered is mainly for on-demand video service providers and television service companies.
An interpreted relational query language that compiles to SQL.
A terminal-based presentation tool with colors and effects.
Projection-based model reduction for nonlinear dynamical systems: core C++ library
large scale pretrain for navigation task
PriMIA: Privacy-preserving Medical Image Analysis
Code accompanying the paper "PrimiTect: Fast Continuous Hough Voting for Primitive Detection" by C. Sommer, Y. Sun, E. Bylow and D. Cremers.
work-through of Computer Vision: Models, Learning, and Inference by Simon J.D. Prince
Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).
Prisma Client Go is an auto-generated and fully type-safe database client
A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens
Documenting Lattice's 28nm FPGA parts
Paris/PPCG/Polyhedral/PRL Runtime Library
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Source Code for 'Pro TBB: C++ Parallel Programming with Threading Building Blocks' by Michael Voss, Rafael Asenjo, and James Reinders
An intuitive probabilistc meteogram based on ensemble forecasts
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
🤖 A framework for building GitHub Apps to automate and improve your workflow
Point cloud registration using probabilistic model (CPD/GMMReg/SVR/GMMTree/FilterReg)
master thesis
Paper on using GeNN for simulating very large-scale models
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A collection of full-stack resources for programmers.
Visualization of Julia profiling data
Code and resources for model learning of network protocol implementations
Graph-based Program Representation & Models for Deep Learning
Exercises of "Programming in Haskell" book
Progress meter for long-running computations
Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.
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.