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Name: Lies
Type: User
Name: Lies
Type: User
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
The Leek group guide to data sharing
Using Deep Autoencoders for predictions of movie ratings.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deep Learning for Time Series Classification
TP Géométrie numérique, spring 2017
A collection of stock market resources and tools
Models and examples built with TensorFlow
Neural Collaborative Filtering
Natural Language Processing Tutorial for Deep Learning Researchers
Pool-Based Active Learning with Proper Topological Regions
Repository for Programming Assignment 2 for R Programming on Coursera
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
Code for Tensorflow Machine Learning Cookbook
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.