FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets
🖥 Github: https://github.com/kaistai/flask
⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/gsm8k
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Meta-Transformer: A Unified Framework for Multimodal Learning
🖥 Github: https://github.com/invictus717/MetaTransformer
⏩ Paper: https://arxiv.org/pdf/2307.10802v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/s3dis
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
🖥 Github: https://github.com/remotebiosensing/rppg
📕 Paper: https://arxiv.org/abs/2307.12644v1
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
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TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition (ICCV 2023)
🖥 Github: https://github.com/Shilin-LU/TF-ICON
📕 Paper: https://arxiv.org/abs/2307.12644v1
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg
@ArtificialIntelligencedl
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Awesome-Align-LLM-Human
🖥 Github: https://github.com/garyyufei/alignllmhumansurvey
📕 Paper: https://arxiv.org/pdf/2307.12966v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/gsm8k
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/gsm8k
@ArtificialIntelligencedl
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Лучший способ получать свежие обновлении и следить за трендами в разработке.
Python: t.me/pythonl
C#: t.me/csharp_ci
C/C++/ t.me/cpluspluc
Машинное обучение: t.me/ai_machinelearning_big_data
Data Science: t.me/data_analysis_ml
Devops: t.me/devOPSitsec
Go: t.me/Golang_google
Базы данных: t.me/sqlhub
Rust: t.me/rust_code
Javanoscript: t.me/javanoscriptv
React: t.me/react_tg
PHP: t.me/phpshka
Android: t.me/android_its
Мобильная разработка: t.me/mobdevelop
Linux: t.me/+A8jY79rcyKJlYWY6
Big Data: t.me/bigdatai
Хакинг: t.me/linuxkalii
Java: t.me/javatg
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
🇬🇧Английский: t.me/english_forprogrammers
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LiDAR Meta Depth Completion
🖥 Github: https://github.com/wbkit/reslan
📕 Paper: https://arxiv.org/pdf/2307.12761v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
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Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
🖥 Github: https://github.com/wangyixinxin/mrg-kg
📕 Paper: https://arxiv.org/pdf/2307.12526v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/mimic-cxr
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/mimic-cxr
@ArtificialIntelligencedl
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PG-RCNN: Semantic Surface Point Generation for 3D Object Detection (ICCV 2023)
🖥 Github: https://github.com/quotation2520/pg-rcnn
📕 Paper: https://arxiv.org/pdf/2307.12637v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
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Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
🖥 Github: https://github.com/chrisisking/rule-by-example
📕 Paper: https://arxiv.org/pdf/2307.12935v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/hatexplain
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/hatexplain
@ArtificialIntelligencedl
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Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
🖥 Github: https://github.com/bytedance/dq-det
📕 Paper: https://arxiv.org/pdf/2307.12239v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
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EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
🖥 Github: https://github.com/DSL-Lab/echoglad
📕 Paper: https://arxiv.org/pdf/2307.12229v1.pdf
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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FATRER
🖥 Github: https://github.com/ludybupt/FATRER
📕 Paper: https://arxiv.org/pdf/2307.12221v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
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Revisiting the Minimalist Approach to Offline Reinforcement Learning
🖥 Github: https://github.com/tinkoff-ai/rebrac
📕 Paper: https://arxiv.org/pdf/2305.09836v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
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LCE -- An Augmented Combination of Bagging and Boosting in Python
🖥 Github: https://github.com/localcascadeensemble/lce
📕 Paper: https://arxiv.org/abs/2308.07250v1
🔥 Project: lce.readthedocs.io/
@ArtificialIntelligencedl
pip install lcensemble🔥 Project: lce.readthedocs.io/
@ArtificialIntelligencedl
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Benchmarking Neural Network Generalization for Grammar Induction
🖥 Github: https://github.com/taucompling/bliss
📕 Paper: https://arxiv.org/abs/2308.07250v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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From Commit Message Generation to History-Aware Commit Message Completion
🖥 Github: https://github.com/jetbrains-research/commit_message_generation
📕 Paper: https://arxiv.org/pdf/2308.07655v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/mcmd
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/mcmd
@ArtificialIntelligencedl
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⚡Легкий способ получать свежие обновлении и следить за трендами в разработке на вашем языке. Находите свой стек и подписывайтесь:
Машинное обучение: @ai_machinelearning_big_data
Go: @Golang_google
C#: @csharp_ci
Базы данных: sql
Python: @python_job_interview
C/C++/: @cpluspluc
Data Science: @data_analysis_ml
Devops: @devOPSitsec
Rust: @rust_code
Javanoscript: @javanoscriptv
React: @react_tg
PHP: @phpshka
Docker: @docker
Android: @android_its
Мобильная разработка: @mobdevelop
Linux: linuxacademy
Big Data: t.me/bigdatai
Хакинг: @linuxkalii
Java:@javatg
Собеседования: @machinelearning_interview
💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
🔥ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: @english_forprogrammers
Машинное обучение: @ai_machinelearning_big_data
Go: @Golang_google
C#: @csharp_ci
Базы данных: sql
Python: @python_job_interview
C/C++/: @cpluspluc
Data Science: @data_analysis_ml
Devops: @devOPSitsec
Rust: @rust_code
Javanoscript: @javanoscriptv
React: @react_tg
PHP: @phpshka
Docker: @docker
Android: @android_its
Мобильная разработка: @mobdevelop
Linux: linuxacademy
Big Data: t.me/bigdatai
Хакинг: @linuxkalii
Java:@javatg
Собеседования: @machinelearning_interview
💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
🔥ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: @english_forprogrammers
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FLAIR: A Foundation LAnguage Image model of the Retina
🖥 Github: https://github.com/jusiro/flair
📕 Paper: https://arxiv.org/pdf/2308.07898v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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EQ-Net: Elastic Quantization Neural Networks
🖥 Github: https://github.com/xuke225/eq-net
📕 Paper: https://arxiv.org/pdf/2308.07650v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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