Management
923 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Management
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Libraries
Use these libraries to find Management models and implementations
BIG-bench
Most implemented papers
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
facebookresearch/TensorComprehensions
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Deep learning models with convolutional and recurrent networks are now ubiquitous and analyze massive amounts of audio, image, video, text and graph data, with applications in automatic translation, speech-to-text, scene understanding, ranking user preferences, ad placement, etc.
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
In this work, we introduce LIFT, an end-to-end software stack for applying deep reinforcement learning to data management tasks.
A CNN-RNN Framework for Crop Yield Prediction
saeedkhaki92/CNN-RNN-Yield-Prediction
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Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.
CORD-19: The COVID-19 Open Research Dataset
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research.
A Distributed Artificial Intelligence Framework to Evolve Infrastructure Resilience in Telecommunications Sector
The paper’s main focus is on two main purposes, the first one is the to propose a mechanism for enhancing resilience in telecom infrastructure, while the second purpose is to quantify the financial value to achieve this resilience.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
benedekrozemberczki/pytorch_geometric_temporal
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We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing.
Good Intentions: Adaptive Parameter Management via Intent Signaling
alexrenz/adapm
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Parameter management is essential for distributed training of large machine learning (ML) tasks.
A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
vuptran/cardiac-segmentation
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To our knowledge, this is the first application of a fully convolutional neural network architecture for pixel-wise labeling in cardiac magnetic resonance imaging.
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Portfolio management is the decision-making process of allocating an amount of fund into different financial investment products.
Adversarial Deep Reinforcement Learning in Portfolio Management
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
