sapdo Goto Github PK
Name: Sapdo Utomo
Type: User
Bio: Ph.D Student National Chung Cheng University
Name: Sapdo Utomo
Type: User
Bio: Ph.D Student National Chung Cheng University
Detection of abandoned objects in a video frame
TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A toolkit for tools and techniques related to the privacy and compliance of AI models.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Air Pollution Image Dataset from India and Nepal
Interpretability and explainability of data and machine learning models
Documentation and samples for ArcGIS API for Python
Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
Simulations from the paper "Communication cost of consensus for nodes with limited memory"
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
DeepTables: Deep-learning Toolkit for Tabular data
This is a python implementation of "Distributed k-Means and k-Median Clustering on General Topologies" by Maria Florina Balcan et al. (http://www.cs.cmu.edu/~ninamf/papers/distr_clust.pdf) || • The concept of coreset was used for efficient k-means clustering of data in distributed settings. • With reduction in communication cost, the k-means cost obtained (using coresets) was as low as the one obtained by running Lloyd’s algorithm on the global dataset. ||
Source code for the AAAI 2020 long paper <Modeling Fluency and Faithfulness for Diverse Neural Machine Translation>.
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
The official repository containing the source code to the explAIner publication.
Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.
A Research-Industry integrated Federated Learning Library, backed by FedML, Inc (https://FedML.ai). Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs
IPMI2019 paper - Melanoma Recognition via Visual Attention
Serverless Inferencing on Kubernetes
A repository to host extended examples and tutorials
Lime: Explaining the predictions of any machine learning classifier
Model Agnostic Concept based Explanations
MetaGraspNet: a large-scale benchmark dataset for vision-driven robotic grasping via physics-based metaverse synthesis -100,000 images across 5 difficulty levels
Creating a model to identify MNIST data using fastai and google colab
Experiments on MNIST dataset and federated training using Flower framework
PM2.5 estimation paper
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
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.