The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper: https://arxiv.org/pdf/2408.06292v2.pdf
Code: https://github.com/sakanaai/ai-scientist
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.06292v2.pdf
Code: https://github.com/sakanaai/ai-scientist
https://news.1rj.ru/str/DataScienceT
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ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Paper: https://arxiv.org/pdf/2408.06070v2.pdf
Code: https://github.com/dvlab-research/controlnext
Datasets: https://laion.ai/blog/laion-5b/
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.06070v2.pdf
Code: https://github.com/dvlab-research/controlnext
Datasets: https://laion.ai/blog/laion-5b/
https://news.1rj.ru/str/DataScienceT
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MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
Paper: https://arxiv.org/pdf/2407.20183v1.pdf
Code: https://github.com/internlm/mindsearch
Datasets: HotpotQA || Bamboogle
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2407.20183v1.pdf
Code: https://github.com/internlm/mindsearch
Datasets: HotpotQA || Bamboogle
https://news.1rj.ru/str/DataScienceT
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MixTex: Unambiguous Recognition Should Not Rely Solely on Real Data
Paper: https://arxiv.org/pdf/2406.17148v2.pdf
Code: https://github.com/RQLuo/MixTeX
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2406.17148v2.pdf
Code: https://github.com/RQLuo/MixTeX
https://news.1rj.ru/str/DataScienceT
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Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
Paper: https://arxiv.org/pdf/2408.02657v1.pdf
Code: https://github.com/alpha-vllm/lumina-mgpt || https://github.com/alpha-vllm/lumina-t2x
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.02657v1.pdf
Code: https://github.com/alpha-vllm/lumina-mgpt || https://github.com/alpha-vllm/lumina-t2x
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Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
Paper: https://arxiv.org/pdf/2406.03877v2.pdf
Code: https://github.com/Thinklab-SJTU/Bench2Drive
Datasets: nuScenes || CARLA
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2406.03877v2.pdf
Code: https://github.com/Thinklab-SJTU/Bench2Drive
Datasets: nuScenes || CARLA
https://news.1rj.ru/str/DataScienceT
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EasySpider: A No-Code Visual System for Crawling the Web
Paper: https://dl.acm.org/doi/pdf/10.1145/3543873.3587345
Code: https://github.com/NaiboWang/EasySpider
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://dl.acm.org/doi/pdf/10.1145/3543873.3587345
Code: https://github.com/NaiboWang/EasySpider
https://news.1rj.ru/str/DataScienceT
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RepViT: Revisiting Mobile CNN From ViT Perspective
Papers: https://arxiv.org/pdf/2307.09283v8.pdf
http://openaccess.thecvf.com//content/CVPR2024/papers/Wang_RepViT_Revisiting_Mobile_CNN_From_ViT_Perspective_CVPR_2024_paper.PDF
Codes: https://github.com/rwightman/pytorch-image-models
https://github.com/jameslahm/RepViT
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/repvit
https://github.com/2023-MindSpore-4/Code10/tree/main/VIT
Datasets: ImageNet || MS COCO || ADE20K
https://news.1rj.ru/str/DataScienceT⭐️
Papers: https://arxiv.org/pdf/2307.09283v8.pdf
http://openaccess.thecvf.com//content/CVPR2024/papers/Wang_RepViT_Revisiting_Mobile_CNN_From_ViT_Perspective_CVPR_2024_paper.PDF
Codes: https://github.com/rwightman/pytorch-image-models
https://github.com/jameslahm/RepViT
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/repvit
https://github.com/2023-MindSpore-4/Code10/tree/main/VIT
Datasets: ImageNet || MS COCO || ADE20K
https://news.1rj.ru/str/DataScienceT
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AudioLM: a Language Modeling Approach to Audio Generation
Paper: https://arxiv.org/pdf/2209.03143v2.pdf
Codes: https://github.com/suno-ai/bark
https://github.com/plachtaa/vall-e-x
https://github.com/serp-ai/bark-with-voice-clone
https://github.com/lucidrains/audiolm-pytorch
https://github.com/RoganInglis/AudioLM
Datasets: LibriSpeech || Libri-Light
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2209.03143v2.pdf
Codes: https://github.com/suno-ai/bark
https://github.com/plachtaa/vall-e-x
https://github.com/serp-ai/bark-with-voice-clone
https://github.com/lucidrains/audiolm-pytorch
https://github.com/RoganInglis/AudioLM
Datasets: LibriSpeech || Libri-Light
https://news.1rj.ru/str/DataScienceT
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Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
Paper: https://arxiv.org/pdf/2408.10107v1.pdf
Code: https://github.com/hy18284/mixdiff
Datasets: CIFAR-10 || CIFAR-100 || Tiny ImageNet
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.10107v1.pdf
Code: https://github.com/hy18284/mixdiff
Datasets: CIFAR-10 || CIFAR-100 || Tiny ImageNet
https://news.1rj.ru/str/DataScienceT
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LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper: https://arxiv.org/pdf/2407.07895v2.pdf
Code: https://github.com/LLaVA-VL/LLaVA-NeXT
Datasets: ALFRED - ActivityNet-QA - NExT-QA
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2407.07895v2.pdf
Code: https://github.com/LLaVA-VL/LLaVA-NeXT
Datasets: ALFRED - ActivityNet-QA - NExT-QA
https://news.1rj.ru/str/DataScienceT
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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
https://news.1rj.ru/str/DataScienceT⭐️
https://news.1rj.ru/str/DataScienceT
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Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper: https://arxiv.org/pdf/2408.12528v1.pdf
Code: https://github.com/showlab/show-o
Dataset: ImageNet
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.12528v1.pdf
Code: https://github.com/showlab/show-o
Dataset: ImageNet
https://news.1rj.ru/str/DataScienceT
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