Khanh-Toan Nguyen's repositories
Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
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'.
risk-distribution-matching
This repository contains the codebase for our accepted paper in the Research Track of WACV'24, titled 'Domain Generalization via Risk Distribution Matching'.
CRR-CausalRelationalReplay
This repository hosts the codebase corresponding to our paper, published at Expert Systems With Applications, titled 'Class-Incremental Learning with Causal Relational Replay'.
Computer-vision-from-scratch
A collection of ComputerVision Algorithms
Adversarial-Continual-Learning
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
pytorch-template
PyTorch deep learning projects made easy.
causallib
A Python package for modular causal inference analysis and model evaluations
CausalTransformerICML22
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
CIRL
[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
Co2L
Co^2L: Contrastive Continual Learning (ICCV2021)
Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
EconML
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.
efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
GFNet-Pytorch
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.
mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
mixstyle-release
Domain Generalization with MixStyle. ICLR'21.
nktoan.github.io
This site below is my computer-science life blog.
open-review-toolkit
Open Review Toolkit: Better books, Higher sales, Increased access to knowledge
PaperNotes
Important notes on scientific papers
RCDM
Visualizing representations with diffusion based conditional generative model.
rethinking_er
Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
robustdg
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite