AI거버넌스 - 관련 법과 국제표준

[2019 project] Using deep reinforcement learning to train AIs to play TRON

The implementation codes of the paper "Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains"

Python의 다양한 데이터 분석 라이브러리를 활용하기 위해 스마트팜코리아 데이터마트 API를 python으로 랩핑하는 프로젝트입니다.

Streamline Integration Framework

graph neural network layer for Deep Graph Library with pytorch backend

PDF to ODT format converter

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

2020년 웹 개발자가 되기 위한 로드맵 🇰🇷

👦 👧 Technical-Interview guidelines written for those who started studying programming. I wish you all the best. 👾

{ 고퀄리티 ⚡ 개발 컨텐츠 모음 }

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Actor-critic with experience replay

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Run Python scripts from Node.js with simple (but efficient) inter-process communication through stdio

Hyper IDE - A web based IDE for 100+ programming languages

💻 신입 개발자로서 지식을 쌓기 위해 공부하는 공간 👨‍💻

Image-to-Image Translation in PyTorch

The new Decaf compiler, rewritten in "modern" Java

A reinforcement learning based solver for combinatorial problems

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Django Dataset for Code Translation Tasks

Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

Implementing the Learning with Opponent Learning Awareness paper (https://blog.openai.com/learning-to-model-other-minds/)

A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning

The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where each agent uses centralized critic training but decentraliz…