deephaejoong Goto Github PK
Name: Haejoong Lee
Type: User
Company: sogang univ. NICELAB https://nice.sogang.ac.kr/
Bio: M.S. Student since 2020 Spring Research Interest: AI.energy, reinforcement learning
Location: Seoul, KOREA
Name: Haejoong Lee
Type: User
Company: sogang univ. NICELAB https://nice.sogang.ac.kr/
Bio: M.S. Student since 2020 Spring Research Interest: AI.energy, reinforcement learning
Location: Seoul, KOREA
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
Really Fast End-to-End Jax RL Implementations
[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.
DeepHaeJoong/python_algorithm_interview
파이썬을 활용하여 파이썬으로 만들어 볼 수 있는 여러가지 다양한 종류의 프로그램
Time series forecasting with PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
PyTorch deep learning projects made easy.
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
use for questions
강화학습 알고리즘 및 코드 구현
Python Implementation of Reinforcement Learning: An Introduction
딥러닝 논문을 리뷰하고 리뷰한 자료를 만든 공간입니다.
David Silver의 RL 자료정리
Reinforcement Learning For Programmer
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
Segmentation models with pretrained backbones. PyTorch.
Semantic Segmentation
Sequence-to-point learning for non-intrusive load monitoring
자연어처리(AIE6211-01) 자료 모음
A game theoretic approach to explain the output of any machine learning model.
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.
Scalable Multi-Agent RL Training School for Autonomous Driving
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.