https://github.com/tal-ai/ML4VocalDelivery
공식 코드A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
Papers with Code 아카이브
BIG-bench Machine Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 2
This branch include most common machine learning fundamental algorithms.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tampapath/lung_colon_image_set
공식 코드Lung and Colon Cancer Histopathological Image Dataset (LC25000)
https://github.com/taranO/clonability-of-printable-graphical-codes
공식 코드Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
https://github.com/tata1661/FewShotPapers
공식 코드Generalizing from a Few Examples: A Survey on Few-Shot Learning
https://github.com/taylankabbani/Predicting-The-Stock-Trend-Using-News-Sentiment-Analysis-and-Technical-Indicators-in-Spark
공식 코드Predicting The Stock Trend Using News Sentiment Analysis and Technical Indicators in Spark
https://github.com/tbeucler/CBRAIN-CAM
공식 코드https://github.com/tdfalc/MLOPF.jl
공식 코드Leveraging power grid topology in machine learning assisted optimal power flow
https://github.com/templep/SPLC_2019
공식 코드Towards Quality Assurance of Software Product Lines with Adversarial Configurations
https://github.com/tencent-alchemy/Alchemy
공식 코드Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
https://github.com/tenokonda/gan-pi
공식 코드Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem
https://github.com/tensorflow/community
공식 코드https://github.com/tensorflow/models
공식 코드https://github.com/tensorflow/quantum
공식 코드TensorFlow Quantum: A Software Framework for Quantum Machine Learning
https://github.com/tensorflow/tensorflow
공식 코드TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
https://github.com/tepia-taxonomy/taxonomy-analysis
공식 코드A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning
https://github.com/tginart/deletion-efficient-kmeans
공식 코드https://github.com/the-burr-project/A-Comparison-of-Machine-Learning-Algorithms-Applied-to-American-Legislature-Polarization
공식 코드A Comparison of Machine Learning Algorithms Applied to American Legislature Polarization
https://github.com/theonesp/multimodal_mortality_covid
공식 코드https://github.com/thesfinox/ml-cicy
공식 코드Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
https://github.com/thokozile123/machine-learning-text-binary
공식 코드https://github.com/thorsilver/Emulating-ABMs-with-ML
공식 코드https://github.com/thudm/grb
공식 코드Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
https://github.com/thumnlab/autogl-light
공식 코드https://github.com/thuwuyinjun/DeltaGrad
공식 코드https://github.com/tiagobotari/melime
공식 코드MeLIME: Meaningful Local Explanation for Machine Learning Models
https://github.com/tiantiangao7/kalm-qa
공식 코드https://github.com/timokats/research_distinguishing_commercial_and_editorial_content
공식 코드https://github.com/timothygebhard/magic-bullet
공식 코드Convolutional neural networks: a magic bullet for gravitational-wave detection?
https://github.com/timpostuvan/adagrid
공식 코드AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
https://github.com/timqqt/MERA_Image_Classification
공식 코드Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification
https://github.com/tinyMLx/courseware/tree/master/edX
공식 코드https://github.com/titu1994/tfdiffeq
공식 코드Universal Differential Equations for Scientific Machine Learning
https://github.com/tizpaz/parfait-ml
공식 코드https://github.com/tkanchin/adaptive_reg_active_learning
공식 코드A Simple yet Brisk and Efficient Active Learning Platform for Text Classification
https://github.com/tomjz/k-node
공식 코드https://github.com/tomogwen/fpdcluster
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.