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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/eleutherai/gpt-neox

공식 코드

Llemma: An Open Language Model For Mathematics

https://github.com/eliselyhan/arw

공식 코드

Model Assessment and Selection under Temporal Distribution Shift

https://github.com/ellenmellon/CGRG

공식 코드

A Controllable Model of Grounded Response Generation

https://github.com/elnaaz/GCE-Model

공식 코드

Toward Scalable Neural Dialogue State Tracking Model

https://github.com/em3e2e-anonymous/em3

공식 코드

End-to-end training of Multimodal Model and ranking Model

https://github.com/emilygoren/MixtClust

공식 코드

Fast model-based clustering of partial records

https://github.com/eminorhan/simple-cache

공식 코드

A Simple Cache Model for Image Recognition

https://github.com/emmaaholmes/econ-climate-sensitivity

공식 코드

Sensitivity analysis of an integrated climate-economic model

https://github.com/ennengyang/representationsurgery

공식 코드

Representation Surgery for Multi-Task Model Merging

https://github.com/enriccorona/SMPLicit

공식 코드

SMPLicit: Topology-aware Generative Model for Clothed People

https://github.com/epfl-dlab/lamen

공식 코드

Evaluating Language Model Agency through Negotiations

https://github.com/epfl-dlab/understanding-decoding

공식 코드

Language Model Decoding as Likelihood-Utility Alignment

https://github.com/erfanhajihashemi/Multi-model-Ensemble-Conformal-Prediction-in-Dynamic-Environments

공식 코드

Multi-model Ensemble Conformal Prediction in Dynamic Environments

https://github.com/ergodice/lczero-training

공식 코드

Mastering Chess with a Transformer Model

https://github.com/eric-ai-lab/pevit

공식 코드

Parameter-efficient Model Adaptation for Vision Transformers

https://github.com/eric-mitchell/mend

공식 코드

Fast Model Editing at Scale

https://github.com/ericl122333/patchdiffusion-pytorch

공식 코드

Improving Diffusion Model Efficiency Through Patching

https://github.com/ericl122333/patchdiffusion-tf

공식 코드

Improving Diffusion Model Efficiency Through Patching

https://github.com/espnet/espnet

공식 코드

SpeechLMScore: Evaluating speech generation using speech language model

https://github.com/etalvitie/hdaggermc

공식 코드

Self-Correcting Models for Model-Based Reinforcement Learning

https://github.com/eteced/arithmetic_finetuning_v1

공식 코드

ArthModel: Enhance Arithmetic Skills to Large Language Model

https://github.com/eth-easl/mixtera

공식 코드

Mixtera: A Data Plane for Foundation Model Training

https://github.com/eth-sri/automated-error-analysis

공식 코드

Automated Classification of Model Errors on ImageNet

https://github.com/eth-sri/language-model-arithmetic

공식 코드

Controlled Text Generation via Language Model Arithmetic

https://github.com/eth-sri/watermark-spoofing-detection

공식 코드

Discovering Spoofing Attempts on Language Model Watermarks

https://github.com/ethanhezhao/NeuralSinkhornTopicModel

공식 코드

Neural Topic Model via Optimal Transport

https://github.com/ethz-asl/kalibr

공식 코드

The Double Sphere Camera Model

https://github.com/eventdata/conflibert

공식 코드

ConfliBERT: A Language Model for Political Conflict

https://github.com/exitudio/BAMM

공식 코드

BAMM: Bidirectional Autoregressive Motion Model

https://github.com/exitudio/MMM

공식 코드

MMM: Generative Masked Motion Model

https://github.com/fabsig/GPBoost

공식 코드

Latent Gaussian Model Boosting

https://github.com/facebookresearch/ReAgent

공식 코드

Band-limited Soft Actor Critic Model

https://github.com/facebookresearch/SingleModelUncertainty

공식 코드

Single-Model Uncertainties for Deep Learning

https://github.com/facebookresearch/catransformers

공식 코드

Carbon Aware Transformers Through Joint Model-Hardware Optimization

https://github.com/facebookresearch/diffq

공식 코드

Differentiable Model Compression via Pseudo Quantization Noise

https://github.com/facebookresearch/edgetam

공식 코드

EdgeTAM: On-Device Track Anything Model

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