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Name: GeoAI
Type: Organization
Bio: Artificial Intelligence, Soft Computing, and Autonation
Location: ECUT
Name: GeoAI
Type: Organization
Bio: Artificial Intelligence, Soft Computing, and Autonation
Location: ECUT
Approximate computing technique is very much useful for improving efficiency (approx double) and reducing energy consumption. We will be using different adders and multipliers for this purpose and comparing their energy consumption and accuracy. And we have implemented it on Field Programmable Gate Array (FPGA) and ZEDBoard.
3D Convolutional Neural Network for 3D MNIST Classification
3D MNIST Point Cloud Classifier using 3D ConvNet with Swift for TensorFlow
3D version of the MNIST database of handwritten digits
Generate 3D MNIST data
Material for a Computational Social Science (CSS) Workshop hosted by the four Dutch technical universities.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.
Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
This is a project of my paper related to active learning and graph based semi-supervised learning, which is published on ICME 2014. The project is written by matlab
Official Matlab demo for AIFT - CVPR 2017
Active Learning on Image Data using Bayesian ConvNets
在hadoop和spark两个框架下实现大数据的主动学习算法
A toolbox for different active manifold learning methods
Active learning toolbox for MATLAB
Code for class on Deep Active Learning and Annotation
Comparing active learning, semi-supervised learning and combination of them on deep learning.
This code is a implementation of paper "Learning on the Border: Active Learning in Imbalanced Data Classification"
Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Advanced Deep Learning with Keras, published by Packt
Generating Adversarial Images for Image-to-Image models in Pytorch
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
TF2 implementation of a domain adversarial neural network
Collection of unsupervised adversarial domain adaptation models and their pre-trained checkpoints.
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
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.