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Name: Khanh-Toan Nguyen
Type: User
Company: Ph.D. Student, A²I² - Applied Artificial Intelligence Institute, Deakin University, Australia.
Bio: a ml-enthusiast.
Location: Geelong, Australia
Name: Khanh-Toan Nguyen
Type: User
Company: Ph.D. Student, A²I² - Applied Artificial Intelligence Institute, Deakin University, Australia.
Bio: a ml-enthusiast.
Location: Geelong, Australia
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
This repository contains the codebase for our accepted paper in the Research Track of KDD'23, titled 'Causal-Inference-via-Style-Transfer-for-OOD-Generalisation'.
A Python package for modular causal inference analysis and model evaluations
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
Object detection, 3D detection, and pose estimation using center point detection:
[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
Co^2L: Contrastive Continual Learning (ICCV2021)
A collection of ComputerVision Algorithms
This repository hosts the codebase corresponding to our paper, published at Expert Systems With Applications, titled 'Class-Incremental Learning with Causal Relational Replay'.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
DomainBed is a suite to test domain generalization algorithms
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Domain Generalization with MixStyle. ICLR'21.
This site below is my computer-science life blog.
Open Review Toolkit: Better books, Higher sales, Increased access to knowledge
Important notes on scientific papers
PyTorch deep learning projects made easy.
Visualizing representations with diffusion based conditional generative model.
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.