π₯ Transformers From Scratch
PYTHON
In this notebook we have built a transformer model based on the Attention Is All You Need paper following along with Andrej Karpathyβs fantastic YouTube video: Letβs build GPT.
π Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html
https://t.iss.one/DataScienceT
PYTHON
In this notebook we have built a transformer model based on the Attention Is All You Need paper following along with Andrej Karpathyβs fantastic YouTube video: Letβs build GPT.
π Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html
https://t.iss.one/DataScienceT
π9
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π§ BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
π₯ Code: https://github.com/buaavrcg/BakedAvatar
π Paper: https://dl.acm.org/doi/10.1145/3618399
β‘οΈ Page: https://buaavrcg.github.io/BakedAvatar/
https://t.iss.one/DataScienceT
git clone https://github.com/buaavrcg/BakedAvatar
cd BakedAvatar
π₯ Code: https://github.com/buaavrcg/BakedAvatar
π Paper: https://dl.acm.org/doi/10.1145/3618399
β‘οΈ Page: https://buaavrcg.github.io/BakedAvatar/
https://t.iss.one/DataScienceT
π8
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Contact @Hussein_Sheikho
π4π1
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π₯Physics-based Text-to-Motionπ₯
π₯ Code: github.com/jiawei-ren/insactor
π Paper: arxiv.org/abs/2312.17135
β‘οΈ Project: https://jiawei-ren.github.io/projects/insactor/
π₯ Code: github.com/jiawei-ren/insactor
π Paper: arxiv.org/abs/2312.17135
β‘οΈ Project: https://jiawei-ren.github.io/projects/insactor/
π3
Sign Language Understanding
π₯ Github: https://github.com/FangyunWei/SLRT
π Paper: https://arxiv.org/pdf/2401.05336v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/csl-daily
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/FangyunWei/SLRT
π Paper: https://arxiv.org/pdf/2401.05336v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/csl-daily
https://t.iss.one/DataScienceT
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π https://macpaw.audw.net/Developers30
Your Benefits:
π Explore global resources!
π± Test app localization!
π Research your competitors!
π Enhance your privacy & security!
π§ Check network infrastructures!
π Bypass ISP restrictions!
π Access regional contents!
Save via this link ONLY! Hurry up !
*Best for developers. Do not forget to paste "Developers30" promo code.
π https://macpaw.audw.net/Developers30
β‘οΈ SigLIP: a better CLIP model
π₯ Github: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/SigLIP/Inference_with_(multilingual)_SigLIP%2C_a_better_CLIP_model.ipynb
π Paper: https://arxiv.org/abs/2303.15343
β‘οΈHF: https://huggingface.co/docs/transformers/main/en/model_doc/siglip
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/SigLIP/Inference_with_(multilingual)_SigLIP%2C_a_better_CLIP_model.ipynb
π Paper: https://arxiv.org/abs/2303.15343
β‘οΈHF: https://huggingface.co/docs/transformers/main/en/model_doc/siglip
https://t.iss.one/DataScienceT
π AMIE: A research AI system for diagnostic medical reasoning and conversations
π‘ Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html
π Paper: https://arxiv.org/abs/2401.05654
https://t.iss.one/DataScienceT
π‘ Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html
π Paper: https://arxiv.org/abs/2401.05654
https://t.iss.one/DataScienceT
π4
ViQuAE
π₯ Github: https://github.com/paullerner/viquae
π Paper: https://arxiv.org/pdf/2401.05736v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/imagenet
β¨ Tasks: https://paperswithcode.com/task/cross-modal-retrieval
π₯ Github: https://github.com/paullerner/viquae
π Paper: https://arxiv.org/pdf/2401.05736v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/imagenet
β¨ Tasks: https://paperswithcode.com/task/cross-modal-retrieval
π4
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πΌοΈ DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders π₯
π₯ Code: github.com/piddnad/DDColor
π Paper: arxiv.org/abs/2212.11613
π Colab: https://github.com/camenduru/DDColor-colab
https://t.iss.one/DataScienceT
π₯ Code: github.com/piddnad/DDColor
π Paper: arxiv.org/abs/2212.11613
π Colab: https://github.com/camenduru/DDColor-colab
https://t.iss.one/DataScienceT
π8
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π MAGNeT: Masked Audio Generation using a Single Non-Autoregressive Transformer
π₯ Code: https://github.com/facebookresearch/audiocraft/blob/main/docs/MAGNET.md#api
π HF: https://huggingface.co/collections/facebook/magnet-659ef0ceb62804e6f41d1466
π Paper: https://arxiv.org/abs/2401.04577
π Project: https://pages.cs.huji.ac.il/adiyoss-lab/MAGNeT/
βοΈ Datasets: https://github.com/facebookresearch/audiocraft/blob/main/docs/DATASETS.md
https://t.iss.one/DataScienceT
π₯ Code: https://github.com/facebookresearch/audiocraft/blob/main/docs/MAGNET.md#api
π HF: https://huggingface.co/collections/facebook/magnet-659ef0ceb62804e6f41d1466
π Paper: https://arxiv.org/abs/2401.04577
π Project: https://pages.cs.huji.ac.il/adiyoss-lab/MAGNeT/
βοΈ Datasets: https://github.com/facebookresearch/audiocraft/blob/main/docs/DATASETS.md
https://t.iss.one/DataScienceT
π5
Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
π₯ Github: https://github.com/kaistai/prometheus-vision
π Paper: https://arxiv.org/abs/2401.06591v1
π₯Datasets: https://paperswithcode.com/dataset/ok-vqa
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/kaistai/prometheus-vision
π Paper: https://arxiv.org/abs/2401.06591v1
π₯Datasets: https://paperswithcode.com/dataset/ok-vqa
https://t.iss.one/DataScienceT
π5β€1
π AlphaGeometry: An Olympiad-level AI system for geometry
https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/
π₯ Code: https://github.com/facebookresearch/audiocraft/blob/main/docs/MAGNET.md#api
π Deepmind: https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/
π Paper: https://www.nature.com/articles/s41586-023-06747-5
https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/
π₯ Code: https://github.com/facebookresearch/audiocraft/blob/main/docs/MAGNET.md#api
π Deepmind: https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/
π Paper: https://www.nature.com/articles/s41586-023-06747-5
π6
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π (Moore) Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
π₯ Code: https://github.com/MooreThreads/Moore-AnimateAnyone
π Colab: github.com/camenduru/Moore-AnimateAnyone-colab
π Paper: arxiv.org/abs/2311.17117
π Project: humanaigc.github.io/animate-anyone/
π₯ Code: https://github.com/MooreThreads/Moore-AnimateAnyone
π Colab: github.com/camenduru/Moore-AnimateAnyone-colab
π Paper: arxiv.org/abs/2311.17117
π Project: humanaigc.github.io/animate-anyone/
π2