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://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.12245v1.pdf
Code: https://github.com/hp-l33/aim
Dataset: ImageNet
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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
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🖥 Github: https://github.com/sebchw/actually-robust-training
📕 Paper: https://arxiv.org/abs/2408.16285v1
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pip install art-training
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This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
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3️⃣ Data Visualization
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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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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
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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
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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://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.16532v1.pdf
Code: https://github.com/jishengpeng/wavtokenizer
Dataset: AudioSet LibriTTS SLURP
https://news.1rj.ru/str/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://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.15998v1.pdf
Code: https://github.com/nvlabs/eagle
https://news.1rj.ru/str/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://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.14717v1.pdf
Code: https://github.com/tag-research/tag-bench
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Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper: https://arxiv.org/pdf/2408.16725v2.pdf
Code: https://github.com/gpt-omni/mini-omni
Dataset: LibriSpeech
https://news.1rj.ru/str/DataScienceT⭐️
Paper: https://arxiv.org/pdf/2408.16725v2.pdf
Code: https://github.com/gpt-omni/mini-omni
Dataset: LibriSpeech
https://news.1rj.ru/str/DataScienceT
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DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
Paper:https://arxiv.org/pdf/2407.03575v1.pdf
Code: https://github.com/chongqingnosubway/dgr-mil
https://news.1rj.ru/str/DataScienceT⭐️
Paper:https://arxiv.org/pdf/2407.03575v1.pdf
Code: https://github.com/chongqingnosubway/dgr-mil
https://news.1rj.ru/str/DataScienceT
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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
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aTENNuate: is a network that can be configured for real-time speech enhancement on raw audio waveforms.
🖥 Github: https://github.com/Brainchip-Inc/aTENNuate
📕 Paper: https://arxiv.org/abs/2409.03377v1
🚀 Dataset: https://paperswithcode.com/dataset/deep-noise-suppression-2020
🚀 Dataset: https://paperswithcode.com/dataset/deep-noise-suppression-2020
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