Giang Nguyen's repositories
InterpretableMLBook-Vietnamese
Bản dịch của cuốn "Interpretable Machine Learning: A Guide for Making Black Box Models Explainable" sang tiếng Việt
paper-review-continual-learning
A hub for paper reviews in Continual Learning
advanced-XAI-for-DeepLearning
Here I gather promising research directions to make DNNs interpretable
Why-do-we-need-XAI
This gathers fatal errors of AIs in the real world and justifications why we need XAI per case
dissect_catastrophic_forgetting
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
machine-learning-overview
A bird view over Machine Learning
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
d2l-vn
Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.
deep-learning-project-template
Pytorch Lightning code guideline for conferences
DIML
Towards Interpretable Deep Metric Learning with Structural Matching
ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
ffcv-imagenet
Train ImageNet *fast* in 500 lines of code with FFCV
gitignore
A collection of useful .gitignore templates
human-centered-machine-learning
Schedule and Syllabus for Human-Centered Machine learning.
i-learn-llms
TIL LLMs
ImageNet-Image-Retrieval
A simple Pytorch implementation of Image Retrieval on ImageNet 2012
llm-attacks
Universal and Transferable Attacks on Aligned Language Models
machine-learning
Content for Udacity's Machine Learning curriculum
my-gans
A bunch of gan models. I try to make a scalable and plug-and-play GAN framework which run on almost framworks (MNIST, CIFAR, CelebA, and so on)
paper-review-generative-models
A hub for reviews of generative models
PerC-Adversarial
Towards large yet imperceptible adversarial image perturbations with perceptual color distance
reassessed-imagenet
Labels and other data for the paper "Are we done with ImageNet?"
TorchRay
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
VanillaGan-DCGAN-for-MNIST-CIFAR10-celebA
PyTorch implementations of Vanilla GAN and DC GAN for 3 datasets: MNIST, CIFAR10 and celebA
vit-pytorch-dev
vit models. I forked to make changes and install back to my server
working_script
working scripts (likely shell script)