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This repository is intended to host tools and demos for ActivityNet
Pytorch implementation of Paper "Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning"
Axon/Myelin segmentation using Deep Learning
COCO API - Dataset @ http://cocodataset.org/
Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
Code for finetuning AlexNet in TensorFlow >= 1.12
The Investment Advisor Demo combines IBM Watson Personality Insights and IBM Watson Tradeoff Analytics services to recommend suitable funds and agents for clients. Fund recommendation is based on client's personality and risk profile. Studies have indicated that risk preference of an individual is correlated to some personality attributes such as Cautiousness and Stability. Each fund, based on it's risk score is assigned a personality portrait. Investment Advisor recommends funds which have similar personality portrait to client's personality.
Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation is here: http://www.idris.fr/eng/jean-zay/
Long-term Temporal Convolutions for Action Recognition, TPAMI 2018
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
PyTorch code for Neighbourhood Consensus Networks
NCNet Re-implementation on Pytorch 1.0 (Original implementation : https://github.com/ignacio-rocco/ncnet)
A beautiful, simple, clean, and responsive Jekyll theme for academics
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Backpropagation-Friendly-Eigendecomposition
The Advanced Proximal Optimization Toolbox
Generate qsub from template files easily
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
scikit-learn: machine learning in Python
GRU network to detect speech segments in audio files
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.