Papers with Code 아카이브

BIG-bench Machine Learning

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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/torchmd/torchmd

공식 코드

TorchMD: A deep learning framework for molecular simulations

https://github.com/totisviribus/ML_PowerGrid

공식 코드

Power-grid stability predictions using transferable machine learning

https://github.com/trianam/quantumNoiseClassification

공식 코드

Machine learning classification of non-Markovian noise disturbing quantum dynamics

https://github.com/ttthhh/ballpark

공식 코드

Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons

https://github.com/tudelft-cda-lab/encode

공식 코드

ENCODE: Encoding NetFlows for Network Anomaly Detection

https://github.com/tueimage/se2cnn

공식 코드

Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis

https://github.com/tuffr5/CAR-GAN

공식 코드

Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation

https://github.com/tum-aimed/hyfed

공식 코드

HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning

https://github.com/tum-pbs/sip

공식 코드

Scale-invariant Learning by Physics Inversion

https://github.com/tvhahn/weibull-knowledge-informed-ml

공식 코드

Knowledge Informed Machine Learning using a Weibull-based Loss Function

https://github.com/tyler-hayes/Deep_SLDA

공식 코드

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

https://github.com/uber-research/normative-uncertainty

공식 코드

Reinforcement Learning Under Moral Uncertainty

https://github.com/uci-cbcl/HLA-bind

공식 코드

HLA class I binding prediction via convolutional neural networks

https://github.com/ucl-bug/jwave

공식 코드

j-Wave: An open-source differentiable wave simulator

https://github.com/uclanlp/clusters

공식 코드

LOGAN: Local Group Bias Detection by Clustering

https://github.com/uclmr/adversarial-nli

공식 코드

Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge

https://github.com/ucsc-real/fairness_transferability

공식 코드

Fairness Transferability Subject to Bounded Distribution Shift

https://github.com/ucsc-real/model_transferability

공식 코드

Model Transferability With Responsive Decision Subjects

https://github.com/udellgroup/oboe

공식 코드

OBOE: Collaborative Filtering for AutoML Model Selection

https://github.com/uds-lsv/privacy-preserving-text-transformer

공식 코드

Privacy Guarantees for De-identifying Text Transformations

https://github.com/ufvceiec/gema

공식 코드

GEMA: An open-source Python library for self-organizing-maps

https://github.com/uio-bmi/causalairr

공식 코드

Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics

https://github.com/uio-bmi/dagsim

공식 코드

DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation

https://github.com/uit-hdl/histology

공식 코드

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

https://github.com/uit-hdl/norpd_prescription_analyses

공식 코드

Interactive exploration of population scale pharmacoepidemiology datasets

https://github.com/uit-hdl/rhd-codes

공식 코드

Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codes

https://github.com/um-dsp/DP-UTIL

공식 코드

DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning

https://github.com/umautobots/driving-in-the-matrix

공식 코드

Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

https://github.com/uncertainty-toolbox/uncertainty-toolbox

공식 코드

Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification

https://github.com/unit8co/darts

공식 코드

Darts: User-Friendly Modern Machine Learning for Time Series

https://github.com/uoe-agents/epymarl

공식 코드

Deep Reinforcement Learning for Multi-Agent Interaction

https://github.com/uoe-agents/lb-foraging

공식 코드

Deep Reinforcement Learning for Multi-Agent Interaction

https://github.com/uoe-agents/robotic-warehouse

공식 코드

Deep Reinforcement Learning for Multi-Agent Interaction

https://github.com/utexas-ghosh-group/carstop

공식 코드

Optimal Alarms for Vehicular Collision Detection

https://github.com/utsav-akhaury/gprMax

공식 코드

Machine Learning Based Forward Solver: An Automatic Framework in gprMax

https://github.com/uw-hai/limeade

공식 코드

LIMEADE: From AI Explanations to Advice Taking

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