Truong Nhan Nguyen

A collection of ZSH frameworks, plugins, themes and tutorials.

A curated list of awesome Go frameworks, libraries and software

All Algorithms implemented in Java

An open-source remote desktop, and alternative to TeamViewer.

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

The Scala 3 compiler, also known as Dotty.

Google Research

A curated list of Rust code and resources.

Roadmap to becoming a developer in 2022

All Algorithms implemented in Rust

Library for reading and writing large multi-dimensional arrays.

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

AI Agent Builder and Runtime by Docker Engineering

:books: Freely available programming books

The conventional commits specification for developer.

A curated list of awesome Python frameworks, libraries, software and resources

🙃 A delightful community-driven (with 1800+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, OSX, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

Test and benchmark suite for sort implementations.

My personal Neovim config based on Lazy.nvim

Accelerating new GitHub Actions workflows

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Master programming by recreating your favorite technologies from scratch.

Protect and discover secrets using Gitleaks 🔑

My personal dotfiles

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

TensorFlow - A curated list of dedicated resources http://tensorflow.org

A curated list of awesome big data frameworks, ressources and other awesomeness.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠