https://github.com/evtaktasheva/dependency_extraction
Multilingual Denoising Pre-training for Neural Machine Translation
Papers with Code 아카이브
NLP based Person Retrival
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ewdowiak/Sicilian_Translator
https://github.com/exa-labs/exa-mcp-server
https://github.com/explainingai-code/VQVAE-Pytorch
https://github.com/extensive-nlp/TSAI-DeepNLP-END2.0
https://github.com/eyalbetzalel/pytorch-generative
https://github.com/eyalbetzalel/pytorch-generative-v2
https://github.com/fabiankaechele/samplingfromautoencoders
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
https://github.com/facebookresearch/CodeGen
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/facebookresearch/GENRE
https://github.com/facebookresearch/Hanabi_SPARTA
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
https://github.com/facebookresearch/InferSent
https://github.com/facebookresearch/ParlAI
https://github.com/facebookresearch/SentEval
https://github.com/facebookresearch/bart_ls
https://github.com/facebookresearch/data2vec_vision
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
https://github.com/facebookresearch/detectron2/tree/master/projects/Panoptic-DeepLab
https://github.com/facebookresearch/flowmm
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
https://github.com/facebookresearch/hanabi
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
https://github.com/facebookresearch/hiera
https://github.com/facebookresearch/highrescanopyheight
https://github.com/facebookresearch/jps
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
https://github.com/facebookresearch/llama/blob/6c7fe276574e78057f917549435a2554000a876d/llama/model.py
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
https://github.com/facebookresearch/locate-3d
Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
https://github.com/facebookresearch/metaicl
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/facebookresearch/multiface
https://github.com/facebookresearch/multimodal
https://github.com/facebookresearch/mvdust3r
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
https://github.com/facebookresearch/neuralvolumes
Neural Volumes: Learning Dynamic Renderable Volumes from Images
https://github.com/facebookresearch/swav
https://github.com/facebookresearch/vip-mae
https://github.com/facebookresearch/vizseq
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/facebookresearch/xR-EgoPose
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
https://github.com/facebookresearch/xformers
https://github.com/faizansuhail89/bert
https://github.com/fanchenyou/transformer-study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.