young-hwanlee Goto Github PK

2020_intel_drone_competition

Intel drone competition 10/xx/2020 ~ 12/05/2020

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

autoencoder

An implementation of auto-encoder for MNIST

camsap17

Published in: 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

clustering_pmu

cnn_keras_mnist

An implementation of CNN for MNIST using TensoFlow & Keras

conicopf

Conic relaxations of the optimal power flow problem

cpes15

Published in: 9th IFAC Symposium on Control of Power and Energy Systems.

dimensionality_reduction_using_pca

An implementation of principal component analysis

dsw19

Published in: 2019 IEEE Data Science Workshop (DSW).

fmtl

Federated Multi-Task Learning

globalsip16

Published in: 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

gnn_example

gridstage

hello-world

Just to practice...

large-scale-lm-tutorials

Large-scale language modeling tutorials with PyTorch

my-practical-statistics-for-data-scientists

noviceml

도서 머신러닝·딥러닝에 필요한 기초 수학 with 파이썬의 예제 코드와 그래프 그리는 코드 및 웹앱 저장소

online_robust_pca

An implementation of online robust PCA (ORPCA) described in the paper: Online Robust PCA via Stochastic Optimization by Feng et al. [NIPS 2013]

practical-statistics-for-data-scientists

Code repository for O'Reilly book

python-with-turtle

Review and practice Python by watching YouTube channel - Sung Kim (10 lectures; running time of 2h 37m 50s)

stand_alone_deep_learning

taufe

Task-Agnostic Undesirable Feature DeactivationUsing Out-of-Distribution Data, NeurIPS, 2021

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

uoais

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022