Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling
🖥 Github: https://github.com/linghuyuhangyuan/m2s
📕 Paper: https://arxiv.org/abs/2407.05875v1
🔥Dataset: https://paperswithcode.com/task/denoising
🔥Dataset: https://paperswithcode.com/task/denoising
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Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation (ECCV 2024)
🖥 Github: https://github.com/fanghaook/ovformer
📕 Paper: https://arxiv.org/abs/2407.07427v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Multimodal contrastive learning for spatial gene expression prediction using histology images
🖥 Github: https://github.com/shizhiceng/mclstexp
📕 Paper: https://arxiv.org/abs/2407.08216v1
🔥Dataset: https://doi.org/10.48610/4fb74a9.
@ArtificialIntelligencedl
🔥Dataset: https://doi.org/10.48610/4fb74a9.
@ArtificialIntelligencedl
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Multimodal contrastive learning for spatial gene expression prediction using histology images
🖥 Github: https://github.com/modelscope/data-juicer
📕 Paper: https://arxiv.org/abs/2407.08583v1
🚀 Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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🌟 Gradient Boosting Reinforcement Learning (GBRL)
🖥 Github: https://github.com/nvlabs/gbrl
📕 Paper: https://arxiv.org/abs/2407.08250v1
🚀 Dataset: https://paperswithcode.com/task/reinforcement-learning-2
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/task/reinforcement-learning-2
@ArtificialIntelligencedl
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🌟 An Empirical Study of Mamba-based Pedestrian Attribute Recognition
🖥 Github: https://github.com/event-ahu/openpar
📕 Paper: https://arxiv.org/pdf/2407.10374v1.pdf
🚀 Dataset: https://paperswithcode.com/dataset/peta
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/peta
@ArtificialIntelligencedl
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Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
🖥 Github: https://github.com/kaistmm/SSLalignment
📕 Paper: https://arxiv.org/abs/2407.13676v1
🚀 Dataset: https://paperswithcode.com/dataset/is3-interactive-synthetic-sound-source
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/is3-interactive-synthetic-sound-source
@ArtificialIntelligencedl
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🚀 Dataset: https://paperswithcode.com/dataset/behave
@ArtificialIntelligencedl
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⚡️ EMO-Disentanger
🖥 Github: https://github.com/yuer867/emo-disentanger
📕 Paper: https://arxiv.org/abs/2407.20955v1
🚀 Dataset: https://paperswithcode.com/dataset/emopia
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/emopia
@ArtificialIntelligencedl
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No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation
🖥 Github: https://github.com/themody/no-learning-rates-needed-introducing-salsa-stable-armijo-line-search-adaptation
📕 Paper: https://arxiv.org/abs/2407.20650v1
🚀 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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DeepInteraction & DeepInteraction++
🖥 Github: https://github.com/fudan-zvg/deepinteraction
📕 Paper: https://arxiv.org/abs/2408.05075v1
🚀 Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
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✔ SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
🖥 Github: github.com/gengdavid/slca
📕 Paper: https://arxiv.org/abs/2408.08295v1
🚀 Dataset: https://paperswithcode.com/dataset/imagenet-r
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/imagenet-r
@ArtificialIntelligencedl
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Forwarded from Machinelearning
Экосистема Fluх развивается очень быстро, каждый день появляются новые способы, решения, возможности и инструменты для работы с моделями Fluх онлайн и оффлайн.
Теперь у сообщества FLUX появился обновляемый и упорядоченный Awesome FLUX!
https://awesomeflux.com/
@ai_machinelearning_big_data
#AI #FLUX #ML #Awesome
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Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
🖥 Github: https://github.com/tencent-ailab/hokoff
📕 Paper: https://arxiv.org/abs/2408.10556v1
🚀 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/d4rl
@ArtificialIntelligencedl
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SAM & SAM 2 for Medical Image Segmentation.
🖥 Github: https://github.com/yichizhang98/sam4mis
📕 Paper: https://arxiv.org/abs/2408.12889v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)
🖥 Github: https://github.com/LiyaoTang/ERDA
📕 Paper: https://arxiv.org/abs/2408.16520v1
🚀 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
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⚡️ ART - Actually Robust Training
🖥 Github: https://github.com/sebchw/actually-robust-training
📕 Paper: https://arxiv.org/abs/2408.16285v1
@ArtificialIntelligencedl
pip install art-training
@ArtificialIntelligencedl
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aTENNuate: is a network that can be configured for real-time speech enhancement on raw audio waveforms.
🖥 Github: https://github.com/Brainchip-Inc/aTENNuate
📕 Paper: https://arxiv.org/abs/2409.03377v1
🚀 Dataset: https://paperswithcode.com/dataset/deep-noise-suppression-2020
@ArtificialIntelligencedl
🚀 Dataset: https://paperswithcode.com/dataset/deep-noise-suppression-2020
@ArtificialIntelligencedl
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⚡️Легкий способ получать свежие обновления и следить за трендами в разработке на вашем языке. Находите свой стек и подписывайтесь:
МАШИННОЕ ОБУЧЕНИЕ: t.me/ai_machinelearning_big_data
C++ t.me/cpluspluc
Python: t.me/pro_python_code
Хакинг: t.me/linuxkalii
Devops: t.me/devOPSitsec
АНАЛИЗ Данных: t.me/data_analysis_ml
Javanoscript: t.me/javanoscriptv
C#: t.me/csharp_ci
Java: t.me/javatg
Базы данных: t.me/sqlhub
Linux: t.me/linuxacademiya
Python собеседования: t.me/python_job_interview
Мобильная разработка: t.me/mobdevelop
Docker: t.me/DevopsDocker
Golang: t.me/golang_interview
React: t.me/react_tg
Rust: t.me/rust_code
PHP: t.me/phpshka
Android: t.me/android_its
Frontend: t.me/front
Big Data: t.me/bigdatai
Собеседования МЛ: t.me/machinelearning_interview
МАТЕМАТИКА: t.me/data_math
Kubernets: t.me/kubernetc
💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
Папка ML: https://news.1rj.ru/str/addlist/2Ls-snqEeytkMDgy
Папка FRONTEND: https://news.1rj.ru/str/addlist/mzMMG3RPZhY2M2Iy
😆ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: t.me/english_forprogrammers
🧠ИИ: t.me/vistehno
🎓954ГБ ОПЕНСОРС КУРСОВ: @courses
📕Ит-книги бесплатно: https://news.1rj.ru/str/addlist/BkskQciUW_FhNjEy
МАШИННОЕ ОБУЧЕНИЕ: t.me/ai_machinelearning_big_data
C++ t.me/cpluspluc
Python: t.me/pro_python_code
Хакинг: t.me/linuxkalii
Devops: t.me/devOPSitsec
АНАЛИЗ Данных: t.me/data_analysis_ml
Javanoscript: t.me/javanoscriptv
C#: t.me/csharp_ci
Java: t.me/javatg
Базы данных: t.me/sqlhub
Linux: t.me/linuxacademiya
Python собеседования: t.me/python_job_interview
Мобильная разработка: t.me/mobdevelop
Docker: t.me/DevopsDocker
Golang: t.me/golang_interview
React: t.me/react_tg
Rust: t.me/rust_code
PHP: t.me/phpshka
Android: t.me/android_its
Frontend: t.me/front
Big Data: t.me/bigdatai
Собеседования МЛ: t.me/machinelearning_interview
МАТЕМАТИКА: t.me/data_math
Kubernets: t.me/kubernetc
💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
Папка ML: https://news.1rj.ru/str/addlist/2Ls-snqEeytkMDgy
Папка FRONTEND: https://news.1rj.ru/str/addlist/mzMMG3RPZhY2M2Iy
😆ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: t.me/english_forprogrammers
🧠ИИ: t.me/vistehno
🎓954ГБ ОПЕНСОРС КУРСОВ: @courses
📕Ит-книги бесплатно: https://news.1rj.ru/str/addlist/BkskQciUW_FhNjEy
Telegram
Machinelearning
Погружаемся в машинное обучение и Data Science
Показываем как запускать любые LLm на пальцах.
По всем вопросам - @haarrp
@itchannels_telegram -🔥best channels
Реестр РКН: clck.ru/3Fmqri
Показываем как запускать любые LLm на пальцах.
По всем вопросам - @haarrp
@itchannels_telegram -🔥best channels
Реестр РКН: clck.ru/3Fmqri
👍3❤1🔥1😁1
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UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition
🖥 Github: https://github.com/opendatalab/unimernet
📕 Paper: https://arxiv.org/pdf/2409.03643v1
🚀 Dataset: https://opendatalab.com/OpenDataLab/UniMER-Dataset
🤗 HF: https://huggingface.co/datasets/wanderkid/UniMER_Dataset
@ArtificialIntelligencedl
🚀 Dataset: https://opendatalab.com/OpenDataLab/UniMER-Dataset
🤗 HF: https://huggingface.co/datasets/wanderkid/UniMER_Dataset
@ArtificialIntelligencedl
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LLaMA-Omni: Seamless Speech Interaction with Large Language Models
🖥 Github: https://github.com/ictnlp/llama-omni
📕 Paper: https://arxiv.org/abs/2409.06666
🤗 HF: https://huggingface.co/ICTNLP/Llama-3.1-8B-Omni
@ArtificialIntelligencedl
🤗 HF: https://huggingface.co/ICTNLP/Llama-3.1-8B-Omni
@ArtificialIntelligencedl
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