https://github.com/oxquantum-repo/drl_for_quantum_measurement
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
Papers with Code 아카이브
Logical Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 22
- 평가표
- 10
- 보존된 평가 기록
- 65
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/petezh/ChatGPT-Advice
https://github.com/philipperemy/tensorflow-phased-lstm
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
https://github.com/phunterlau/paper_without_code/tree/main/examples/logic-of-thoughts/
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
https://github.com/pku-yuangroup/open-sora-plan
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
https://github.com/pmh47/textured-mesh-gen
https://github.com/pminervini/kgreasoning
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
https://github.com/poloclub/llm-attribution
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
https://github.com/poloclub/llm-attributor
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
https://github.com/poloclub/wordflow
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
https://github.com/preddy5/A-Deep-Generative-Model-for-Graph-Layout
https://github.com/princeton-nlp/swe-agent
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
https://github.com/profsynapse/synapse_cor
https://github.com/pwc-1/Paper-5/tree/main/mpt
MPTP: Motion-Planning-aware Task Planning for Navigation in Belief Space
https://github.com/qglht/repal
https://github.com/qingyun-wu/autogen-eval
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
https://github.com/rajarshd/ChainsofReasoning
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
https://github.com/rajatgermany/qa-nlp
https://github.com/ram81/il_rl_baselines
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
https://github.com/rasmusbergpalm/hebbian-evolution
https://github.com/ray-project/ray/tree/master/rllib
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/razvanc92/enhancenet
https://github.com/reallm-labs/infiguiagent
InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
https://github.com/richardobi/frd-score
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
https://github.com/ritwikgupta/tencent-hunyuan-large
Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
https://github.com/riveSunder/harli_learning
https://github.com/rob530-w22-team25/AVP-SLAM-PLUS
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
https://github.com/rohanchandra30/TrackNPred
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/romi514/TLSGAN
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/rulematrix/rule-matrix-py
RuleMatrix: Visualizing and Understanding Classifiers with Rules
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/sagpant/ViZDoom
https://github.com/sainzmac/Deep-MRI-Reconstruction-master
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
https://github.com/salman-h-khan/ZSD_Release
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
https://github.com/sanjass/MultiTaskLearning
https://github.com/seanslice/seanslice.github.io
Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.