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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
The official code for our paper "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents", published as a demonstration at AAMAS 2021.
Probabilistic time series modeling in Python
Code and data for our paper: Senne Berden, Mohit Kumar, Samuel Kolb, and Tias Guns (2022): Learning MAX-SAT Models from Examples using Genetic Algorithms and Knowledge Compilation, CP 2022
This repository contains the code for our paper: Senne Berden, Mohit Kumar, Samuel Kolb, and Tias Guns (2022): Learning MAX-SAT Models from Examples using Genetic Algorithms and Knowledge Compilation, CP 2022
Baseline Code for ADHA dataset
Codes for the book "Julia for Data Analysis"
Keras Temporal Convolutional Network.
Some papers on Knowledge Graph Embedding(KGE)
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
A dataset of first-person monologue videos/transcript/annotations about "life lessons" in various domains. The main purpose is for multi-modal language analysis and modeling.
"Distributions" that might not add to one.
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
My main Machine Learning class
A tool for estimating time-dependent migration rates based on cross-/within-population coalescent rates from MSMC
Official repo of "Multimodal Across Domains Gaze Target Detection" @ ICMI 2022
DTWNet: a Dynamic Time Warping Network
NLP入门指南
A Tutorial about Programming for Natural Language Processing
Code Samples from Neural Networks for NLP
code for deep learning courses
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy audio signals in audio space for the first time.
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.