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duka - Dukascopy historical data downloader
This repository contains data and analysis scripts to reproduce the figures as well as source code and simulation scripts to perform the experiments described in Jordan, Schmidt, et al., 2020.
Code for our neurips 2019 paper "Quantum Embedding of Knowledge for Reasoning" (authors: Dinesh Garg, Shajith Ikbal, Santosh K Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam)
Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Predicting biological effects of chemical-protein interactions
Knowledge Embedding Framework Powered by XiaoHan.
Implementation and examples of use of the ensemble conformalized quantile regression (EnCQR) algorithm.
A Library for Ensemble Learning Using Support Vector Machines
Must-read papers on entity alignment published in recent years
Time-Series Event Prediction with Evolutionary State Graph
CLI support for decompiler.
An Efficient implementation of TransE and its extended models for Knowledge Representation Learning
Fast BPE
Repository for the Explainable Deep One-Class Classification paper
FInancial REinforcement learning
Official repository of ACM MM 2021 paper "Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning"
Useful scripts for backtesting.
Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
A toolkit for reproducible reinforcement learning research.
Official implementation of our work, GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [AAAI 2021].
Code for "Generalised Interpretable Shapelets for Irregular Time Series"
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
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.