https://github.com/smplbody/hmr-benchmarks
공식 코드Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/snap-research/r2l
공식 코드https://github.com/snap-stanford/mlagentbench
공식 코드MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
https://github.com/snap-stanford/stark
공식 코드STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
https://github.com/snousias/Revisiting-Content-Based-Audio-Classification-for-Asthma-Medication-Adherence
공식 코드https://github.com/social-ai-studio/hatred
공식 코드https://github.com/socialfoundations/training-on-the-test-task
공식 코드Training on the Test Task Confounds Evaluation and Emergence
https://github.com/soda-inria/retrieve-merge-predict
공식 코드https://github.com/soda-inria/yadl
공식 코드https://github.com/solirinai/geobenchx
공식 코드https://github.com/songrise/mllm4art
공식 코드https://github.com/sonyresearch/coala
공식 코드COALA: A Practical and Vision-Centric Federated Learning Platform
https://github.com/soombit-ai/chexgpt
공식 코드CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
https://github.com/sougata-ub/llms_for_ionic_liquids
공식 코드https://github.com/soumyabrata/ehr-features
공식 코드A predictive analytics approach for stroke prediction using machine learning and neural networks
https://github.com/soundclim/anuraset
공식 코드https://github.com/spacelearner/graph-gpt
공식 코드https://github.com/spaghettiSystems/serval
공식 코드SER Evals: In-domain and Out-of-domain Benchmarking for Speech Emotion Recognition
https://github.com/spalabucr/pategan-audit
공식 코드The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
https://github.com/sparisi/visit-value-explore
공식 코드Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
https://github.com/spcl/mrag
공식 코드https://github.com/sphere-ai-lab/formalmath-bench
공식 코드FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
https://github.com/spiral-med/diagnosisarena
공식 코드DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
https://github.com/spotify-research/tot
공식 코드https://github.com/spring-epfl/iccwd
공식 코드A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
https://github.com/sprinter1999/fnbench
공식 코드FNBench: Benchmarking Robust Federated Learning against Noisy Labels
https://github.com/squareroot3/gadbench
공식 코드GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
https://github.com/squareroot3/grapharena
공식 코드GraphArena: Benchmarking Large Language Models on Graph Computational Problems
https://github.com/sri-karthik-avala/capsule-challenge-2024
공식 코드Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
https://github.com/srikarym/CCTV-Gun
공식 코드https://github.com/ssarfraz/QuoVadisTAD
공식 코드Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
https://github.com/ssskj/herolt
공식 코드Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
https://github.com/ssydasheng/predictive-correlation-benchmark
공식 코드https://github.com/stacs-cp/autoig
공식 코드https://github.com/stanford-crfm/helm
공식 코드Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
https://github.com/stanfordmlgroup/cheXphoto
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.