Bao Duong

COMIC. Variational Bayesian Compression of Neural Networks for Identifying Causal Direction – ICML 2025

claude-code-system-prompts. All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version.

FANS. Code for "Neural Autoregressive Flows for Markov Boundary Learning" (IEEE ICDM 2025)

autoresearch. AI agents running research on single-GPU nanochat training automatically

semantic-scholar-mcp. MCP server for searching and analyzing academic papers via Semantic Scholar API

awesome-claude-code. A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins

ECC. The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

openusage. Burning through your subscriptions too fast? Paying for stuff you never use? Stop guessing. OpenUsage is free and open source.

sqtop. squeue but look like htop

TokenEater. Native macOS app to monitor Claude AI usage limits and watch your coding sessions live

LitRev. Python

tinyfish-cookbook. A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build!

ROCHE. Robust Estimation of Causal Heteroscedastic Noise Models – SDM 2024

CAFPoNo. Code for the paper "Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows" - ECAI 2024

VCUDA. Code for the paper "Scalable Variational Causal Discovery Unconstrained by Acyclicity" - ECAI 2024

olist-data-analysis. Apply data analysis (descriptive and predictive) on Ecommerce data

text-classification-a-survey. A survey with hands-on examples about Text Classfication problems using Python

MAX-object-detector. Object-Detector Web-App

PRO. AAAI 2026 - Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models

unsloth. Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

KNN-Hadoop-Spark. Java

gpt-oss. gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

arckit. Tools for working with the Abstraction & Reasoning Corpus

How-To-Secure-A-Linux-Server. An evolving how-to guide for securing a Linux server.

derp-server. Tailscale/Headscale derp server

jupyter-shot. Quickly share screenshots of Jupyter notebook cells.

iframe-shot. IPython function to grab a screenshot of an IFrame cell output

PlotNeuralNet. Latex code for making neural networks diagrams

pure-bash-bible. 📖 A collection of pure bash alternatives to external processes.

HYDRO. Python

BDBM. Official implementation of Bidirectional Diffusion Bridge Models

CompeteSMoE. Code for this paper "CompeteSMoE - Effective Sparse Mixture of Experts Training via Competition"

VQMoE. Code for this paper "On the Role of Discrete Representation in Sparse Mixture of Experts".

SimSMoE. Code for this paper "SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse".

HyperRouter. Code for this paper "HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts via HyperNetwork"

KNN_CUDA. C++

KNN_POSIX_Threads_OpenMP_MPI. C++

marimo. A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

VSCode-Animations. A VSCode extension that adds animations to the editor

h-edit. [CVPR 2025] h-Edit: Effective and Flexible Diffusion-Based Editing via Doob’s h-Transform

flow-backend. Space Operator Backend

COMPUTER. Implementation for the paper "Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition" (Tuyen et al., BMVC 2024)

MSML. Repo for Morgan Stanley Machine Learning Research group's publications

tra-cuu-sao-ke. Nền tảng tra cứu dữ liệu sao kê toàn diện cho các hoạt động từ thiện tại Việt Nam (Comprehensive statement data lookup platform for charity activities in Vietnam)

Megatron-LM. Ongoing research training transformer models at scale

DrBO. Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025

SHM. Source code for Stable Hadamard Memory

Fabric. Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

ProDAG.jl. Projected variational inference for directed acyclic graphs

noTunes. A simple macOS application that will prevent iTunes or Apple Music from launching.

neuralbo. Python

DADS. This repository contains the codebase for our accepted paper in the Main track of AAMAS'24, titled 'Policy Learning for Off-Dynamics RL with Deficient Support'.

Offline-and-OfflineOnline-RL. A project includes the implementations of state-of-the-art offline and online RL

divbfkd. Improving Diversity in Black-box Few-shot Knowledge Distillation

infomat. Implementation of the Information Matrix project simulations.

Amethyst. Automatic tiling window manager for macOS à la xmonad.

taichi. Productive, portable, and performant GPU programming in Python.

arxiv-utils. Meaningful titles for tabs and PDF downloads! Also supports tab search.

PowerInfer. High-speed Large Language Model Serving for Local Deployment

awesome-offline-to-online-RL-papers. A list of Offline to Online RL papers (continually updated)

risk-distribution-matching. [WACV 2024] Domain Generalisation via Risk Distribution Matching

modern-unix. A collection of modern/faster/saner alternatives to common unix commands.

TOBAC. Topological Ordering in Differentiable Bayesian Structure Learning with Guaranteed Acyclicity Constraint – ICDM 2023

private-gpt. Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.

ray. Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

LocalAI. LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

homepage. A highly customizable homepage (or startpage / application dashboard) with Docker and service API integrations.

daedalOS. Desktop environment in the browser

awesome-selfhosted. A list of Free Software network services and web applications which can be hosted on your own servers

Causal-Inference-via-Style-Transfer-for-OOD-Generalisation. [KDD 2023] Causal Inference via Style Transfer for Out-of-distribution Generalisation

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'.

vulture. Find dead Python code

llm_lib. Python

torchan. General template for my PyTorch projects.

bigo_judger. C++

ResUnet. Pytorch implementation of ResUnet and ResUnet ++

Bayesian_Optimization. Jupyter Notebook

DualAST. Python

benchpress. Scalable open-source software to run, develop, and benchmark causal discovery algorithms

CCRAL. Classifier with Counterfactual Samples and Active Learning

nflows. Normalizing flows in PyTorch

awesome-normalizing-flows. Awesome resources on normalizing flows.

pytorch-normalizing-flows. Normalizing flows in PyTorch. Current intended use is education not production.

KernelFunctionalOptimisation. Code base for NeurIPS 2021 publication titled Kernel Functional Optimisation (KFO)

normalizing-flows. Implementation of normalizing flows from 1d to Nd

pandas-videos. Jupyter notebook and datasets from the pandas video series

dit. Python package for information theory.

FantasyCity_Builder_Maya. Python Scripts to build fantasy city in Maya

TheRollingBall. C++

Maya_Scripts. Scripts for Maya workflow, automating regular tasks

ocr_hw. Jupyter Notebook

code_for_fun. Jupyter Notebook

face_mask_detection. Python

arxiv-style. A Latex style and template for paper preprints (based on NIPS style)

personal_blog.

FSL-Mate. FSL-Mate: A collection of resources for few-shot learning (FSL).

intelligent-data-analytics.

Flappy-Bird-Genetic-Algorithms. Use genetic algorithms to train flappy bird

hugo-clarity. A theme for Hugo based on VMware Clarity

three-opt. 3-opt solving TSP problem with 7 distiling steps.

scikit-opt. Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

flag-of-vietnam-rplace2022. This work is an overnight with 84436, an overlay code forked from Osu! community but for ``flag of Vietnam`` in r/place 2022

Facebook-Recruiting-Dataset. OpenEdge ABL

implicit-maml-experiment. :)

dot-da-dot. dotfiles, but not dotfiles

hcmus-ms-template. HCMUS MS courses report document template in latex

PyRKHSstats. A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).

einops. Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

awesome-android. A curated list of awesome Android packages and resources.

project1-gulugulugulu1. project1-gulugulugulu created by GitHub Classroom

First-year-HCMUS. Solution some exercise

computer-vision. Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

OOP. Project in OOP course

KTMT-HN. 16-byte-number implementation.

android-fundamentals. Java

Data_Structures_Algorithms_In_Python. My implementation of 80+ popular data structures and algorithms and interview questions in Python 3

Make-a-Pull-Request. Make a Pull Request

Algorithms. Efficient Algorithms

instantsearch-android-examples. Example apps built with algolia/instantsearch-android

OperatingSystem. Đồ án môn học Hệ Điều Hành

ameniCettoL. C#

AI. Đồ án môn học AI

dtxdtv. Java

algos. Collection of different algorithms used for programming competitions (like ACM ICPC).

MobileFinal. Java

CtCI-6th-Edition-cpp. Cracking the Coding Interview 6th Ed. C++ Solutions

YOLO-Counting. sudah mulai counting,akan tetapi masih belum bisa tracking,serta jumlah kamera yang digunakan masih 1,serta replace image_opencv.cpp ke darknet-master/src

commit-messages-guide. A guide to understand the importance of commit messages and how to write them well

YOLOdemo. C

simple-shell. Project 1 - Operating System

deeplearning-models. A collection of various deep learning architectures, models, and tips

basic-statistic. Python

neuralgym. Deep Learning Toolkit

VANETTutorials. Tutorials for VANET YouTube Series (OMNET++, INET, and VEINs)

momo-rps. Python

TensorFlow-Tutorials. TensorFlow Tutorials with YouTube Videos

Deep-Reinforcement-Learning-With-Python. Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning. Repo for the Deep Reinforcement Learning Nanodegree program

Semi-Supervised-Transfer-Learning. [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

example-code. Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

siamese-triplet. Siamese and triplet networks with online pair/triplet mining in PyTorch

machine-learning-interview. Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

CanBus-IDS. Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"

SupContrast. PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

clientReact-MongoDB. JavaScript

serverMongoDB. JavaScript

PDFRefPreview. A boorkmarklet for previewing citations and other internal links in PDFs on mouse hover

infotheory. C++/Python Information theoretic analyses tools

Resources. My resources for doing research

201_image_processing_exercises. Jupyter Notebook

covid19_repurposing. Jupyter Notebook

timer. Python code timer, support block wise and function wise

trustworthyAI. Trustworthy AI related projects

Etch-a-Sketch. C programming project - Simulation of the Etch-a-sketch

RealToon. Real Time Toon Shader

pgmpy. Python Toolkit for Causal and Probabilistic Reasoning

glamor-net. Global-Local Attention for Emotion Recognition

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.

jabref. Desktop app for managing BibTeX and BibLaTeX (.bib) libraries

causallib. A Python package for modular causal inference analysis and model evaluations

pmlb. PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

GraphDTA. GraphDTA: Predicting drug-target binding affinity with graph neural networks

chat-app.

hello-world. My first program

My-Code. C++

yumme. Yum-me is a nutrient based food recommendation system

darknet. YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Computer-Architecture-and-Assembly-Language. C++

seam-carving. A fast Python implementation of Seam Carving for Content-Aware Image Resizing.

CSC14003---Introduction-to-Artificial-Intelligence. Python

HCMUS-Mobile-Courses-Hub. Java

nodejs-demoapp. Simple demo Node.js Express web app for deploying to Azure, Docker etc

E-learning-coursera. Python

HCMUS-Mobile-CovidNews. Java

SampleRss. Java

E-Commerce-Web-Application. Handlebars

quocbao0603. My personal repository

online_newspapers. JavaScript

CppCoreGuidelines. The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

CS162-Project-StudentManagement. A console application to manage student academic activities

Data-Science-Course-1-by-Ha-Xuan-Nguyen. List of assignments and projects of mine during my first Data Science course

tensorflow. An Open Source Machine Learning Framework for Everyone

CS202-Cross-The-Road. A cross the road game for a class project

layout-demo. JavaScript

DevC-Innovation-Challenge-Homework-Set. The set of assignment in a Data Science course organized by Coderschool and Facebook Developer Circle that I participated in

What-The-Food. An Android app that accelerates food ordering

BM25. A Python implementation of the BM25 ranking function.

Greedy_InfoMax. Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

docs-l10n. Community translations of TensorFlow documentation

CS224W-Stanford. This is the repository containing the solution of the homework for the CS224W course at Stanford: Machine Learning with Graphs

Elementary-Computer-Graphics-Algorithm. This is the repository containing a codes for some basic Computer Graphics algorithms implementation using OpenGL

TPC-H-Dataset-Generator-MS-SQL-Server. TPC-H Data and Query Generator for Microsoft SQL Server on Linux

SWHGD. The repository for a research project in exploring the Software Heritage Dataset

CS163-Search-Engine. A console search engine application

Graph-Matching-Networks-PyTorch. This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (Li et al.) in PyTorch.

simsg. Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Scene-Graph-Benchmark.pytorch. A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

nghiahhnguyen.github.io. A repository to construct my personal webpage