Artificial Intelligence
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Artificial Intelligence

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Artificial Intelligence
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Artificial Intelligence
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

πŸ–₯ Github: https://github.com/bytedance/dq-det

πŸ“• Paper: https://arxiv.org/pdf/2307.12239v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/cityscapes

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Artificial Intelligence
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

πŸ–₯ Github: https://github.com/DSL-Lab/echoglad

πŸ“• Paper: https://arxiv.org/pdf/2307.12229v1.pdf

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Artificial Intelligence
FATRER

πŸ–₯ Github: https://github.com/ludybupt/FATRER

πŸ“• Paper: https://arxiv.org/pdf/2307.12221v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/iemocap

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Artificial Intelligence
Revisiting the Minimalist Approach to Offline Reinforcement Learning

πŸ–₯ Github: https://github.com/tinkoff-ai/rebrac

πŸ“• Paper: https://arxiv.org/pdf/2305.09836v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/d4rl

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Artificial Intelligence
LCE -- An Augmented Combination of Bagging and Boosting in Python

pip install lcensemble

πŸ–₯ Github: https://github.com/localcascadeensemble/lce

πŸ“• Paper: https://arxiv.org/abs/2308.07250v1

πŸ”₯ Project: lce.readthedocs.io/

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Artificial Intelligence
Benchmarking Neural Network Generalization for Grammar Induction

πŸ–₯ Github: https://github.com/taucompling/bliss

πŸ“• Paper: https://arxiv.org/abs/2308.07250v1

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Artificial Intelligence
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Artificial Intelligence
From Commit Message Generation to History-Aware Commit Message Completion

πŸ–₯ Github: https://github.com/jetbrains-research/commit_message_generation

πŸ“• Paper: https://arxiv.org/pdf/2308.07655v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/mcmd

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Artificial Intelligence
βš‘Π›Π΅Π³ΠΊΠΈΠΉ способ ΠΏΠΎΠ»ΡƒΡ‡Π°Ρ‚ΡŒ свСТиС ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΈ ΠΈ ΡΠ»Π΅Π΄ΠΈΡ‚ΡŒ Π·Π° Ρ‚Ρ€Π΅Π½Π΄Π°ΠΌΠΈ Π² Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ Π½Π° вашСм языкС. НаходитС свой стСк ΠΈ ΠΏΠΎΠ΄ΠΏΠΈΡΡ‹Π²Π°ΠΉΡ‚Π΅ΡΡŒ:


МашинноС ΠΎΠ±ΡƒΡ‡Π΅Π½ΠΈΠ΅: @ai_machinelearning_big_data
Go: @Golang_google
C#: @csharp_ci
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Python: @python_job_interview
C/C++/: @cpluspluc
Data Science: @data_analysis_ml
Devops: @devOPSitsec
Rust: @rust_code
Javascript: @javascriptv
React: @react_tg
PHP: @phpshka
Docker: @docker
Android: @android_its
Мобильная Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ°: @mobdevelop
Linux: linuxacademy
Big Data: t.me/bigdatai
Π₯Π°ΠΊΠΈΠ½Π³: @linuxkalii
Java:@javatg
БобСсСдования: @machinelearning_interview


πŸ’Ό Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Ρ‡ΠΈΠΊΠ°: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Ρ‡ΠΈΠΊΠ°: t.me/addlist/eEPya-HF6mkxMGIy

πŸ”₯ИВ-ΠœΠ΅ΠΌΡ‹: t.me/memes_prog

πŸ‡¬πŸ‡§ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ: @english_forprogrammers
πŸ”₯4πŸ‘2❀1
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Artificial Intelligence
FLAIR: A Foundation LAnguage Image model of the Retina

πŸ–₯ Github: https://github.com/jusiro/flair

πŸ“• Paper: https://arxiv.org/pdf/2308.07898v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/imagenet

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Artificial Intelligence
EQ-Net: Elastic Quantization Neural Networks

πŸ–₯ Github: https://github.com/xuke225/eq-net

πŸ“• Paper: https://arxiv.org/pdf/2308.07650v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/imagenet

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Artificial Intelligence
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition

πŸ–₯ Github: https://github.com/osvai/ske2grid

πŸ“• Paper: https://arxiv.org/pdf/2308.07571v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/ucf101

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Artificial Intelligence
Complete Instances Mining for Weakly Supervised Instance Segmentation

πŸ–₯ Github: https://github.com/ZechengLi19/CIM

πŸ“• Paper: https://www.ijcai.org/proceedings/2023/0127.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/coco

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Artificial Intelligence
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression

πŸ–₯ Github: https://github.com/llvy21/duic

πŸ“• Paper: https://arxiv.org/pdf/2308.07733v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/pixel-art

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Artificial Intelligence
LibCity

πŸ–₯ Github: https://github.com/libcity/bigscity-libcity

πŸ“• Paper: https://arxiv.org/pdf/2308.12899v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/taxibj

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Artificial Intelligence
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment

πŸ–₯ Github: https://github.com/sheng-eatamath/s3a

πŸ“• Paper: https://arxiv.org/pdf/2308.12960v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/cifar-100

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Artificial Intelligence
πŸ• Reprogramming Under Constraints

πŸ–₯ Github: https://github.com/landskape-ai/reprogram_lt

πŸ“• Paper: https://arxiv.org/pdf/2308.14969v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/cifar-10

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Artificial Intelligence
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⭐️ScrollNet: Dynamic Weight Importance for Continual Learning

git clone https://github.com/FireFYF/ScrollNet.git
cd ScrollNet

πŸ–₯ Github: https://github.com/firefyf/scrollnet

πŸ“• Paper: https://arxiv.org/abs/2308.16567v1

πŸ”₯ Dataset: https://paperswithcode.com/dataset/tiny-imagenet

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Artificial Intelligence
Read-only-Prompt-Optimization for Vision-Language Few-shot Learning

πŸ–₯ Github: https://github.com/mlvlab/rpo

πŸ“• Paper: https://arxiv.org/pdf/2308.14960v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/imagenet

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Artificial Intelligence
imbalanced-DL: Deep Imbalanced Learning in Python

πŸ–₯ Github: https://github.com/ntucllab/imbalanced-dl

πŸ“• Paper: https://arxiv.org/pdf/2308.15457v1.pdf

πŸ”₯ Dataset: https://paperswithcode.com/dataset/cifar-10

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