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Friction

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

https://github.com/roan-schellingerhout/evaluating_job_recommendations

공식 코드

Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations

https://github.com/shayantaherian/Vehicle-Stabilisation-Using-Reinforcement-Learning

공식 코드

Self-adaptive Torque Vectoring Controller Using Reinforcement Learning

https://github.com/sidv23/ra-hmc

공식 코드

Repelling-Attracting Hamiltonian Monte Carlo

https://github.com/sunnymatt/t-recs-experiments

공식 코드

T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems

https://github.com/tuftsvalt/modelcomm

공식 코드

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts

https://github.com/tum-pbs/coord-trans-encoding

공식 코드

Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils

https://github.com/uber-research/atari-model-zoo

공식 코드

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents

https://github.com/ubi-coro/precise_pushing

공식 코드

Precision-Focused Reinforcement Learning Model for Robotic Object Pushing

https://github.com/uci-cbcl/NoduleNet

공식 코드

NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation

https://github.com/uiuc-conversational-ai-lab/accountable-dst

공식 코드

Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling

https://github.com/utkarshsingh99/memorais

공식 코드

memorAIs: an Optical Character Recognition and Rule-Based Medication Intake Reminder-Generating Solution

https://github.com/valentinslepukhin/self-organised-seclusion

공식 코드

Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial Communities

https://github.com/vvanirudh/CMAXPP

공식 코드

CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models

https://github.com/xinmeng-luan/bowmass-dafx

공식 코드

Physics-Informed Deep Learning for Nonlinear Friction Model of Bow-string Interaction

https://github.com/yilingqiao/diff_fem

공식 코드

Differentiable Simulation of Soft Multi-body Systems

https://github.com/JavierAntoran/Bayesian-Neural-Networks

Stochastic Gradient Hamiltonian Monte Carlo

https://github.com/Jekyll1021/RARL

Robust Adversarial Reinforcement Learning

https://github.com/LeoToledo/PivotingTaskRL

Reinforcement Learning for Pivoting Task

https://github.com/MindSpore-scientific-2/code-3/tree/main/stochastic-attention-head-removal-a-simple

Stochastic Gradient Hamiltonian Monte Carlo

https://github.com/QTIM-Lab/DeepNeuro

DeepNeuro: an open-source deep learning toolbox for neuroimaging

https://github.com/QTIM-Lab/DeepRad

DeepNeuro: an open-source deep learning toolbox for neuroimaging

https://github.com/TurboFreeze/sghmc

Stochastic Gradient Hamiltonian Monte Carlo

https://github.com/Yangangren/Adversarial-Reinforcement-learning

Robust Adversarial Reinforcement Learning

https://github.com/Yangangren/Adversarial_RL

Robust Adversarial Reinforcement Learning

https://github.com/alrhub/mts3

Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning

https://github.com/apple/embedding-atlas

Embedding Atlas: Low-Friction, Interactive Embedding Visualization

https://github.com/casparwb/Syzygy.jl

Evolution of binary stars and the effect of tides on binary populations

https://github.com/davidsonic/robust-grasp

Robust Adversarial Reinforcement Learning

https://github.com/gowen100/Machine-Learning

"Quantum Equilibrium-Disequilibrium": Asset Price Dynamics, Symmetry Breaking, and Defaults as Dissipative Instantons

https://github.com/hsvgbkhgbv/TACTHMC

Stochastic Gradient Hamiltonian Monte Carlo

https://github.com/hsvgbkhgbv/Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning

Stochastic Gradient Hamiltonian Monte Carlo

https://github.com/jamesjingqili/Lipschitz_Continuous_Reachability_Learning

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects

https://github.com/lerrel/gym-adv

Robust Adversarial Reinforcement Learning

https://github.com/lerrel/rllab-adv

Robust Adversarial Reinforcement Learning

https://github.com/luannd/MSU-LatentAFIS

Automatic Latent Fingerprint Segmentation

https://github.com/luannd/MinutiaeNet

Automatic Latent Fingerprint Segmentation

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