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-_-_-_-

공부한 내용을 주제별로 기록

-_final

첨단 신경망 기말과제 제출 repo

22-algorithm-study

전주대학교 인공지능학과 EYEARS 동아리에서 진행하는 Coding test로 좋은 문제를 선정하여 함께 풀고 업로드하여 기록하는 저장소입니다.

agroml

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

brain_tumor_segmentation

cnn-from-scratch

In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN architectures in both Keras and PyTorch. (I'm working on implementing those Architectures using MxNet and Caffe)

cnn-from-scratch-using-numpy

Implementation of Convolutional Neural Network from scratch using Numpy - An internship project under Dr. Girish Varma at IIIT Hyderabad.

crawling-world

크롤링&스크래핑

dcgan-tensorflow

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deep_learning

deeplab-large-fov

My Implementation of the deeplab_v1 (known as deeplab large fov)

deeplab-v3

Google DeepLab V3 for Image Semantic Segmentation

deeplearning

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_from_scratch

밑바닥부터 시작하는 딥러닝 정리

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

frcnn-from-scratch-with-keras

:collision:Faster R-CNN from scratch written with Keras

gdrl

Grokking Deep Reinforcement Learning

generative_model

hg-mldl

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

hoya012

kagglestruggle

Kaggle Struggle

lane-damaged-detection

lanedetection_end2end

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

matrix-factorization

Simple matrix factorization for Python

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)