π Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
π₯ Github: https://github.com/liamlian0727/usis10k
π Paper: https://arxiv.org/abs/2406.06039v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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π4β€2
TSI-Bench: Benchmarking Time Series Imputation
π₯ Github: https://github.com/WenjieDu/Awesome_Imputation
π Paper: https://arxiv.org/pdf/2406.12747v1.pdf
π₯Dataset: https://github.com/WenjieDu/TSDB
@ArtificialIntelligencedl
π₯Dataset: https://github.com/WenjieDu/TSDB
@ArtificialIntelligencedl
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π5β€3π₯2
Consistency Models Made Easy
π₯ Github: https://github.com/locuslab/ect
π Paper: https://arxiv.org/abs/2406.14548v1
π₯Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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π4π₯3β€2
LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
π₯ Github: https://github.com/bigai-nlco/langsuite
π Paper: https://arxiv.org/abs/2406.16294v1
π₯Dataset: https://paperswithcode.com/dataset/ai2-thor
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/ai2-thor
@ArtificialIntelligencedl
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π₯7π2β€1
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
π₯ Github: https://github.com/zyc00/point-sam
π Paper: https://arxiv.org/abs/2406.17741v1
π₯Dataset: https://paperswithcode.com/dataset/shapenet
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/shapenet
@ArtificialIntelligencedl
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π2π₯2β€1
π₯ MedMNIST-C: benchmark dataset based on the MedMNIST+ collection covering 12 2D datasets and 9 imaging modalities.
π₯ Github: https://github.com/francescodisalvo05/medmnistc-api
π Paper: https://arxiv.org/abs/2406.17536v2
π₯Dataset: https://paperswithcode.com/dataset/imagenet-c
@ArtificialIntelligencedl
pip install medmnistcπ₯Dataset: https://paperswithcode.com/dataset/imagenet-c
@ArtificialIntelligencedl
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π3β€2
New open model alert by Shanghai AI Laboratory π¨
Welcome Internal 2.5
π₯Very high quality 7B model
πUp to 1 million context window
π§Tool usage capabilities
Looking forward to playing with it
https://huggingface.co/collections/internlm/internlm25-66853f32717072d17581bc13
@ArtificialIntelligencedl
Welcome Internal 2.5
π₯Very high quality 7B model
πUp to 1 million context window
π§Tool usage capabilities
Looking forward to playing with it
https://huggingface.co/collections/internlm/internlm25-66853f32717072d17581bc13
@ArtificialIntelligencedl
β€2π₯2π1
β‘οΈΠΡΡΡΠΈΠΉ ΡΠΏΠΎΡΠΎΠ± ΠΏΠΎΠ»ΡΡΠ°ΡΡ ΡΠ²Π΅ΠΆΠΈΠ΅ ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΈ ΡΠ»Π΅Π΄ΠΈΡΡ Π·Π° ΡΡΠ΅Π½Π΄Π°ΠΌΠΈ Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½Π° Π²Π°ΡΠ΅ΠΌ ΡΠ·ΡΠΊΠ΅. ΠΠ°Ρ
ΠΎΠ΄ΠΈΡΠ΅ ΡΠ²ΠΎΠΉ ΡΡΠ΅ΠΊ ΠΈ ΠΏΠΎΠ΄ΠΏΠΈΡΡΠ²Π°ΠΉΡΠ΅ΡΡ:
C++ t.me/cpluspluc
Devops: t.me/devOPSitsec
ΠΠ°ΡΠΈΠ½Π½ΠΎΠ΅ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅: t.me/ai_machinelearning_big_data
ΠΠΠΠΠΠ ΠΠ°Π½Π½ΡΡ : t.me/data_analysis_ml
Π₯Π°ΠΊΠΈΠ½Π³: t.me/linuxkalii
Linux: t.me/linuxacademiya
ΠΠ°Π·Ρ Π΄Π°Π½Π½ΡΡ : t.me/sqlhub
C#: t.me/csharp_ci
Golang: t.me/Golang_google
Java: t.me/javatg
React: t.me/react_tg
Javascript: t.me/javascriptv
ΠΠΎΠ±ΠΈΠ»ΡΠ½Π°Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ°: t.me/mobdevelop
Docker: t.me/+0WdB4uvOwCY0Mjdi
Python: t.me/pythonl
Rust: t.me/rust_code
PHP: t.me/phpshka
Android: t.me/android_its
Big Data: t.me/bigdatai
Π‘ΠΎΠ±Π΅ΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΠ: t.me/machinelearning_interview
Python ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° Ρ ΡΠΎΠ±Π΅ΡΡ: t.me/python_job_interview
ΠΠΠ’ΠΠΠΠ’ΠΠΠ: t.me/data_math
πΌ ΠΠ°ΠΏΠΊΠ° Ρ Π²Π°ΠΊΠ°Π½ΡΠΈΡΠΌΠΈ: t.me/addlist/_zyy_jQ_QUsyM2Vi
ΠΠ°ΠΏΠΊΠ° Go ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ°: t.me/addlist/MUtJEeJSxeY2YTFi
ΠΠ°ΠΏΠΊΠ° Python ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ°: t.me/addlist/eEPya-HF6mkxMGIy
ΠΠ°ΠΏΠΊΠ° ML: https://t.me/addlist/2Ls-snqEeytkMDgy
C++ ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/CdBs5DLepLJmZjY6
C# ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/u15AMycxRMowZmRi
Java ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/ZM3J6oFNAnRlNWU6
FRONTEND ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/mzMMG3RPZhY2M2Iy
Linux ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/w4Doot-XBG4xNzYy
πΠΠ’-ΠΠ΅ΠΌΡ: t.me/memes_prog
π¬π§ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ: t.me/english_forprogrammers
π§ ΠΠ: t.me/vistehno
πΠΡ-ΠΊΠ½ΠΈΠ³ΠΈ Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ: https://t.me/addlist/BkskQciUW_FhNjEy
C++ t.me/cpluspluc
Devops: t.me/devOPSitsec
ΠΠ°ΡΠΈΠ½Π½ΠΎΠ΅ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅: t.me/ai_machinelearning_big_data
ΠΠΠΠΠΠ ΠΠ°Π½Π½ΡΡ : t.me/data_analysis_ml
Π₯Π°ΠΊΠΈΠ½Π³: t.me/linuxkalii
Linux: t.me/linuxacademiya
ΠΠ°Π·Ρ Π΄Π°Π½Π½ΡΡ : t.me/sqlhub
C#: t.me/csharp_ci
Golang: t.me/Golang_google
Java: t.me/javatg
React: t.me/react_tg
Javascript: t.me/javascriptv
ΠΠΎΠ±ΠΈΠ»ΡΠ½Π°Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ°: t.me/mobdevelop
Docker: t.me/+0WdB4uvOwCY0Mjdi
Python: t.me/pythonl
Rust: t.me/rust_code
PHP: t.me/phpshka
Android: t.me/android_its
Big Data: t.me/bigdatai
Π‘ΠΎΠ±Π΅ΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΠ: t.me/machinelearning_interview
Python ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° Ρ ΡΠΎΠ±Π΅ΡΡ: t.me/python_job_interview
ΠΠΠ’ΠΠΠΠ’ΠΠΠ: t.me/data_math
πΌ ΠΠ°ΠΏΠΊΠ° Ρ Π²Π°ΠΊΠ°Π½ΡΠΈΡΠΌΠΈ: t.me/addlist/_zyy_jQ_QUsyM2Vi
ΠΠ°ΠΏΠΊΠ° Go ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ°: t.me/addlist/MUtJEeJSxeY2YTFi
ΠΠ°ΠΏΠΊΠ° Python ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ°: t.me/addlist/eEPya-HF6mkxMGIy
ΠΠ°ΠΏΠΊΠ° ML: https://t.me/addlist/2Ls-snqEeytkMDgy
C++ ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/CdBs5DLepLJmZjY6
C# ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/u15AMycxRMowZmRi
Java ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/ZM3J6oFNAnRlNWU6
FRONTEND ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/mzMMG3RPZhY2M2Iy
Linux ΠΏΠ°ΠΏΠΊΠ°: https://t.me/addlist/w4Doot-XBG4xNzYy
πΠΠ’-ΠΠ΅ΠΌΡ: t.me/memes_prog
π¬π§ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ: t.me/english_forprogrammers
π§ ΠΠ: t.me/vistehno
πΠΡ-ΠΊΠ½ΠΈΠ³ΠΈ Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ: https://t.me/addlist/BkskQciUW_FhNjEy
β€1π1
Seq2Seq: Sequence-to-Sequence Generator
π₯ Github: https://github.com/fiy2w/mri_seq2seq
π Paper: https://arxiv.org/abs/2407.02911v1
π₯Dataset: https://paperswithcode.com/task/contrastive-learning
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/task/contrastive-learning
@ArtificialIntelligencedl
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π5π₯2β€1
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling
π₯ Github: https://github.com/linghuyuhangyuan/m2s
π Paper: https://arxiv.org/abs/2407.05875v1
π₯Dataset: https://paperswithcode.com/task/denoising
π₯Dataset: https://paperswithcode.com/task/denoising
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π3π₯2β€1
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation (ECCV 2024)
π₯ Github: https://github.com/fanghaook/ovformer
π Paper: https://arxiv.org/abs/2407.07427v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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π3π₯2β€1
Multimodal contrastive learning for spatial gene expression prediction using histology images
π₯ Github: https://github.com/shizhiceng/mclstexp
π Paper: https://arxiv.org/abs/2407.08216v1
π₯Dataset: https://doi.org/10.48610/4fb74a9.
@ArtificialIntelligencedl
π₯Dataset: https://doi.org/10.48610/4fb74a9.
@ArtificialIntelligencedl
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β€3π2π₯2
Multimodal contrastive learning for spatial gene expression prediction using histology images
π₯ Github: https://github.com/modelscope/data-juicer
π Paper: https://arxiv.org/abs/2407.08583v1
π Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
π Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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π5β€2π₯2
π Gradient Boosting Reinforcement Learning (GBRL)
π₯ Github: https://github.com/nvlabs/gbrl
π Paper: https://arxiv.org/abs/2407.08250v1
π Dataset: https://paperswithcode.com/task/reinforcement-learning-2
@ArtificialIntelligencedl
π Dataset: https://paperswithcode.com/task/reinforcement-learning-2
@ArtificialIntelligencedl
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β€8π3π₯1
π An Empirical Study of Mamba-based Pedestrian Attribute Recognition
π₯ Github: https://github.com/event-ahu/openpar
π Paper: https://arxiv.org/pdf/2407.10374v1.pdf
π Dataset: https://paperswithcode.com/dataset/peta
@ArtificialIntelligencedl
π Dataset: https://paperswithcode.com/dataset/peta
@ArtificialIntelligencedl
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π4π₯°4π₯2
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
π₯ Github: https://github.com/kaistmm/SSLalignment
π Paper: https://arxiv.org/abs/2407.13676v1
π Dataset: https://paperswithcode.com/dataset/is3-interactive-synthetic-sound-source
@ArtificialIntelligencedl
π Dataset: https://paperswithcode.com/dataset/is3-interactive-synthetic-sound-source
@ArtificialIntelligencedl
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π4β€3π₯3
π Dataset: https://paperswithcode.com/dataset/behave
@ArtificialIntelligencedl
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β€4π₯3π2
β‘οΈ EMO-Disentanger
π₯ Github: https://github.com/yuer867/emo-disentanger
π Paper: https://arxiv.org/abs/2407.20955v1
π Dataset: https://paperswithcode.com/dataset/emopia
@ArtificialIntelligencedl
π Dataset: https://paperswithcode.com/dataset/emopia
@ArtificialIntelligencedl
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π₯4β€2π2
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation
π₯ Github: https://github.com/themody/no-learning-rates-needed-introducing-salsa-stable-armijo-line-search-adaptation
π Paper: https://arxiv.org/abs/2407.20650v1
π Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
π Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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π5π₯3β€2