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/snu-stat-bigdata-computing
2023-summer bigdata-bootcamp for graduate students in statistics at Seoul National University
mybirth0407/undergraduate_courses
Assignments in Hanyang Univ.
mybirth0407/a-to-z-uto-encoder
Autoencoder
mybirth0407/AlwaysBeDreaming-DFCIL
PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
mybirth0407/graduate_courses
My assignments during Seoul National Univ.
mybirth0407/ml_competitions
Kaggle, Dacon, ..., etc
mybirth0407/Conv-Autoencoder-for-Mel-Spectrogram
Convolutional autoencoder for encoding latent vector of Mel Spectrogram
mybirth0407/DistStat.jl
Distributed computation for statistics
mybirth0407/fastbook
The fastai book, published as Jupyter Notebooks
mybirth0407/gitignore
A collection of useful .gitignore templates
mybirth0407/hello-github
Fun with GitHub
mybirth0407/learning-without-prejudices
Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)
mybirth0407/metaworld
An open source robotics benchmark for meta- and multi-task reinforcement learning
mybirth0407/ML_course
EPFL Machine Learning Course, Fall 2021
mybirth0407/mmdetection
OpenMMLab Detection Toolbox and Benchmark
mybirth0407/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
mybirth0407/ParProx.jl
GPU-Parallel L1- and latent group-penalized logistic regression and Cox proportional hazard regression using the proximal gradient method.
mybirth0407/pytorch-ewc
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
mybirth0407/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
mybirth0407/skills-communicate-using-markdown
My clone repository
mybirth0407/skills-github-pages
My clone repository
mybirth0407/skills-introduction-to-github
My clone repository
mybirth0407/skills-resolve-merge-conflicts
My clone repository
mybirth0407/snu_cpp_practice
snu_cpp_practice
mybirth0407/Soft-Module
Code for "Multi-task Reinforcement Learning with Soft Modularization"
mybirth0407/sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
mybirth0407/st-app
stremlit application with yolov8 by ultralytics
mybirth0407/t3VAE
t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence (ICLR 2024)
mybirth0407/tensorflow-developer-certificate
TensorFlow Developer Certificate
mybirth0407/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite