nhat_le's repositories
1806
18.06 course at MIT
annotated_deep_learning_paper_implementations
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠
Applied-Deep-Learning
Applied Deep Learning
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Deep-Learning
Contains implementation of some topics in deep learning that I am currently learning.
Deep-Learning-Computer-Vision
Personal implementation for Stanford CS231n / Umich: Deep Learning for Computer Vision (by Justin Johnson)
minimal
Minimal is a Jekyll theme for GitHub Pages
nhat-le01-old-1.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
nhat-le01-old.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
pytorch-Xception
Simple Code Implementation of "Xception" architecture using PyTorch.