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Management

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/agiresearch/aios.server

AIOS: LLM Agent Operating System

https://github.com/agiresearch/litecua

Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery

https://github.com/aimagelab/mammoth

RMM: Reinforced Memory Management for Class-Incremental Learning

https://github.com/ajmcneil/spectralBacktest

Spectral backtests of forecast distributions with application to risk management

https://github.com/albertogaspar/dts

Deep Learning for Time Series Forecasting: The Electric Load Case

https://github.com/allenai/dolma

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

https://github.com/andreaslillevangbech/PortfolioManager-pytorch

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

https://github.com/annxingyuan/XNNPACK

Efficient Memory Management for Deep Neural Net Inference

https://github.com/appsec2008/acnbp

Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability

https://github.com/ariaghora/robust-period

RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity Detection

https://github.com/arnabdey929/Risk-Aware-Trading-Portfolio-Optimisation

Risk-aware Trading Portfolio Optimization

https://github.com/ashisharora010/FDFNet

FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing

https://github.com/ashisharora010/data

FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing

https://github.com/asuprem/edna

EventMapper: Detecting Real-World Physical Events Using Corroborative and Probabilistic Sources

https://github.com/aurelio-labs/semantic-router

Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration

https://github.com/avinashbarnwal/AFTXGBoostPaper

Survival regression with accelerated failure time model in XGBoost

https://github.com/ayucd/why-would-you-do-that

Deep Reinforcement Learning

https://github.com/basiralab/ABMT

Deep Graph Translation

https://github.com/basiralab/CGTS-GAN

Deep Graph Translation

https://github.com/baskargroup/Arboretum

Deep learning powered real-time identification of insects using citizen science data

https://github.com/baskargroup/biotrove

Deep learning powered real-time identification of insects using citizen science data

https://github.com/bellasih/multimodal_supercon

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

https://github.com/benedekrozemberczki/benedekrozemberczki

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

https://github.com/bird-tao/clcrn

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

https://github.com/boettiger-lab/pomdp-intro

Resolving the measurement uncertainty paradox in ecological management

https://github.com/bossdm/RCMDP

Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty

https://github.com/boyiliee/sitta

The Plant Pathology 2020 challenge dataset to classify foliar disease of apples

https://github.com/bramiozo/PubScience

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

https://github.com/bucky1995/Portfolio-RL

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

https://github.com/carrliitos/NLPInformationExtraction

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

https://github.com/chalothon/lecture_extractive_sum

Leveraging BERT for Extractive Text Summarization on Lectures

https://github.com/chocobearz/covid-imaging-hackaton

COVID-19 Image Data Collection: Prospective Predictions Are the Future

https://github.com/cicorias/njit-covid-chestxray-dataset

COVID-19 Image Data Collection: Prospective Predictions Are the Future

https://github.com/cipnlu/InformationExtraction

Relation Extraction : A Survey

https://github.com/codelion/adaptive-classifier

Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration

https://github.com/cognitivemodeling/finn

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.