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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
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Forwarded from Machine Learning with Python
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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
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Paper: https://arxiv.org/pdf/2408.12528v1.pdf
Code: https://github.com/showlab/show-o
Dataset: ImageNet
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Forwarded from Data Science Library
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On the Benefits of Visual Stabilization for Frame- and Event-based Perception
Paper: https://arxiv.org/pdf/2408.15602v1.pdf
Code: https://github.com/tub-rip/visual_stabilization
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Paper: https://arxiv.org/pdf/2408.15602v1.pdf
Code: https://github.com/tub-rip/visual_stabilization
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613c5dbd_ac1d_4ee6_bfbb_c93e33ec97b3.gif
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GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting
Paper: https://arxiv.org/pdf/2408.11447v1.pdf
Code: https://github.com/ganwanshui/gaussianocc
Datasets: NeRF | nuScenes
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Paper: https://arxiv.org/pdf/2408.11447v1.pdf
Code: https://github.com/ganwanshui/gaussianocc
Datasets: NeRF | nuScenes
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Paper: Scalable Autoregressive Image Generation with Mamba
Paper: https://arxiv.org/pdf/2408.12245v1.pdf
Code: https://github.com/hp-l33/aim
Dataset: ImageNet
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Paper: https://arxiv.org/pdf/2408.12245v1.pdf
Code: https://github.com/hp-l33/aim
Dataset: ImageNet
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Forwarded from 🐳
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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
https://news.1rj.ru/str/DataScienceT⭐️
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⚡️ ART - Actually Robust Training
🖥 Github: https://github.com/sebchw/actually-robust-training
📕 Paper: https://arxiv.org/abs/2408.16285v1
https://news.1rj.ru/str/DataScienceT⭐️
pip install art-training
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Forwarded from ُEng. Hussein Sheikho
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
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4️⃣ Artificial Intelligence
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Sapiens: Foundation for Human Vision Models
Paper: https://arxiv.org/pdf/2408.12569v3.pdf
Code: https://github.com/facebookresearch/sapiens
Datasets: Hi4D
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.12569v3.pdf
Code: https://github.com/facebookresearch/sapiens
Datasets: Hi4D
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Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper: https://arxiv.org/pdf/2408.15998v1.pdf
Code: https://github.com/nvlabs/eagle
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.15998v1.pdf
Code: https://github.com/nvlabs/eagle
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SGLang: Efficient Execution of Structured Language Model Programs
Paper: https://arxiv.org/pdf/2312.07104v2.pdf
Code: https://github.com/sgl-project/sglang
Datasets: MMLU | HellaSwag | LLaVA-Bench
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2312.07104v2.pdf
Code: https://github.com/sgl-project/sglang
Datasets: MMLU | HellaSwag | LLaVA-Bench
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