Pinned Repositories
graduate_courses
My assignments during Seoul National Univ.
intensity_prediction
Bioinformatics, Deep learning project
machinelearninginaction
Machine Learning in Action 책 내용 및 Python 3 코드, 주석을 한글로 정리하였습니다.
make_mgf
BioInformatics, Tandem Mass Spectrum Data Preprocessing
ml_competitions
Kaggle, Dacon, ..., etc
reinforcement-learning-kr-v2
[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제
show_and_tell_implementation
Show and Tell: A Neural Image Caption Generator implement using keras
snu-stat-bigdata-computing
2023-summer bigdata-bootcamp for graduate students in statistics at Seoul National University
testdome_python_interview_questions
https://www.testdome.com/d/python-interview-questions/9
undergraduate_courses
Assignments in Hanyang Univ.
mybirth0407's Repositories
mybirth0407/show_and_tell_implementation
Show and Tell: A Neural Image Caption Generator implement using keras
mybirth0407/reinforcement-learning-kr-v2
[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제
mybirth0407/testdome_python_interview_questions
https://www.testdome.com/d/python-interview-questions/9
mybirth0407/trl
Train transformer language models with reinforcement learning.
mybirth0407/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
mybirth0407/awesome-deep-learning-papers
The most cited deep learning papers
mybirth0407/backend.ai
Backend.AI is a streamlined, container-based computing cluster orchestrator that hosts diverse programming languages and popular computing/ML frameworks, with pluggable heterogeneous accelerator support including CUDA and ROCM.
mybirth0407/CCM-site
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
mybirth0407/ccvae_pytorch
Pytorch codebase for Capturing label characteristics in VAEs
mybirth0407/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
mybirth0407/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
mybirth0407/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
mybirth0407/DEN
Lifelong Learning with Dynamically Expandable Networks
mybirth0407/dist_stat
dist_stat: Distributed statistical computing with distributed array data structure in PyTorch
mybirth0407/dlaicourse
Notebooks for learning deep learning
mybirth0407/easyml
A toolkit for easily building and evaluating machine learning models.
mybirth0407/ExpertNet-Pytorch
A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
mybirth0407/fMRI_study_materials
Summary of fMRI study materials (paper, books, slides, ... etc)
mybirth0407/KoBERT
Korean BERT pre-trained cased (KoBERT)
mybirth0407/lecture-note-python-basics-for-ai
mybirth0407/leetcode
https://leetcode.com/problemset/all
mybirth0407/M1399_000100-2021spring
Computational Statistics @ SNU 2021
mybirth0407/motion_keypoints_detection
https://dacon.io/competitions/official/235701/overview/description
mybirth0407/neurosynth
Neurosynth core tools
mybirth0407/paper_reviews
mybirth0407/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
mybirth0407/reinforcement_learning_specialization
https://www.coursera.org/specializations/reinforcement-learning
mybirth0407/semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
mybirth0407/stroustrup-ppp
Chapter work from Bjarne Stroustrup's Programming Principles and Practice text
mybirth0407/UCL
The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)