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
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.15602v1.pdf
Code: https://github.com/tub-rip/visual_stabilization
https://t.me/DataScienceT
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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
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.11447v1.pdf
Code: https://github.com/ganwanshui/gaussianocc
Datasets: NeRF | nuScenes
https://t.me/DataScienceT
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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
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.12245v1.pdf
Code: https://github.com/hp-l33/aim
Dataset: ImageNet
https://t.me/DataScienceT
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Dear subscriber, we would like to thank you very much for supporting our channel, and as a token of our gratitude we would like to provide you with free access to Lisa's investor channel, with the help of which you can earn today
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All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)
π₯ Github: https://github.com/LiyaoTang/ERDA
π Paper: https://arxiv.org/abs/2408.16520v1
π Dataset: https://paperswithcode.com/dataset/cityscapes
https://t.me/DataScienceTβοΈ
https://t.me/DataScienceT
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β‘οΈ ART - Actually Robust Training
π₯ Github: https://github.com/sebchw/actually-robust-training
π Paper: https://arxiv.org/abs/2408.16285v1
https://t.me/DataScienceTβοΈ
pip install art-training
https://t.me/DataScienceT
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Forwarded from ΩEng. Hussein Sheikho
This channels is for Programmers, Coders, Software Engineers.
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6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
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https://t.me/codeprogrammer
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https://t.me/DataScienceT
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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://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.12569v3.pdf
Code: https://github.com/facebookresearch/sapiens
Datasets: Hi4D
https://t.me/DataScienceT
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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://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.15998v1.pdf
Code: https://github.com/nvlabs/eagle
https://t.me/DataScienceT
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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://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2312.07104v2.pdf
Code: https://github.com/sgl-project/sglang
Datasets: MMLU | HellaSwag | LLaVA-Bench
https://t.me/DataScienceT
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Conformal prediction under ambiguous ground truth
Paper: https://arxiv.org/pdf/2307.09302v2.pdf
Codes:
https://github.com/google-deepmind/uncertain_ground_truth
https://github.com/alaalab/webcp
Dataset: Dermatology ddx dataset
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2307.09302v2.pdf
Codes:
https://github.com/google-deepmind/uncertain_ground_truth
https://github.com/alaalab/webcp
Dataset: Dermatology ddx dataset
https://t.me/DataScienceT
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WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Paper: https://arxiv.org/pdf/2408.16532v1.pdf
Code: https://github.com/jishengpeng/wavtokenizer
Dataset: AudioSet LibriTTS SLURP
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.16532v1.pdf
Code: https://github.com/jishengpeng/wavtokenizer
Dataset: AudioSet LibriTTS SLURP
https://t.me/DataScienceT
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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://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.15998v1.pdf
Code: https://github.com/nvlabs/eagle
https://t.me/DataScienceT
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Text2SQL is Not Enough: Unifying AI and Databases with TAG
Paper: https://arxiv.org/pdf/2408.14717v1.pdf
Code: https://github.com/tag-research/tag-bench
https://t.me/DataScienceTβοΈ
Paper: https://arxiv.org/pdf/2408.14717v1.pdf
Code: https://github.com/tag-research/tag-bench
https://t.me/DataScienceT
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