https://github.com/tengteng95/spatial_ensemble
공식 코드Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Papers with Code 아카이브
Unity
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/theclassictechno/lightfielddatasetgenerator
공식 코드A Novel Approach For Generating Customizable Light Field Datasets for Machine Learning
https://github.com/thomassutter/mmvampvae
공식 코드Unity by Diversity: Improved Representation Learning in Multimodal VAEs
https://github.com/thomassutter/mmvmvae
공식 코드Unity by Diversity: Improved Representation Learning in Multimodal VAEs
https://github.com/uw-ersl/gmtounn
공식 코드GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks
https://github.com/uzh-rpg/flightmare
공식 코드https://github.com/wuwushrek/MCE_IRL_POMDPS
공식 코드https://github.com/yangmeng96/mmvmvae-hippocampal
공식 코드Unity by Diversity: Improved Representation Learning in Multimodal VAEs
https://github.com/yorkeyao/VehicleX
공식 코드Simulating Content Consistent Vehicle Datasets with Attribute Descent
https://github.com/yshin12/llss-rz
공식 코드Desperate times call for desperate measures: government spending multipliers in hard times
https://github.com/zhangzjn/emo
공식 코드Rethinking Mobile Block for Efficient Attention-based Models
https://github.com/zhijing-jin/3D_Traffic_in_Unity
공식 코드3D Traffic Simulation for Autonomous Vehicles in Unity and Python
https://github.com/Charlesthebird/BOXES-DroneDelivery-ML-Agents
https://github.com/DdATM/ML-FlappyBird
https://github.com/EVavylonis/iSEER
https://github.com/Henreich/ML-Breakout-Pong
https://github.com/Henreich/ML-Pong
https://github.com/Henreich/ML-testing
https://github.com/JacopoPan/gym-pybullet-drones
https://github.com/JonathanVanDyke/ML-Unity
https://github.com/MIT-SPARK/Kimera-VIO-Evaluation
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
https://github.com/Michaelwolf95/Hierarchical-ML-agents
https://github.com/MikeWise2718/ml-agents-mod
https://github.com/MnMaxon/VR-Gesture-Detection
https://github.com/NVIDIAAICITYCHALLENGE/2020AICITY_Code_From_Top_Teams
Simulating Content Consistent Vehicle Datasets with Attribute Descent
https://github.com/Pranacahya/FP-GameCerdas
https://github.com/Skylerzhang023/MediaAISuperCloneBoy
https://github.com/ToniRV/Kimera-VIO-Evaluation
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
https://github.com/Xking8/Nav_ml-agent-v5
https://github.com/Yarlak/Larry
https://github.com/Yarlak/LarryOriginal
https://github.com/addy369/AnimalAI
https://github.com/adrianphoulady/weighted-tsetlin-machine-cpp
https://github.com/alecfilios/Training-Intelligent-game-Agents-through-Competitive-Reinforcement-Learning
https://github.com/alexcercos/ML-Agents
https://github.com/anon767/TsetlinMachine
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.