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đĽłFreeInit with AnimateDiff Gradio Colab
đĽ colab: https://github.com/camenduru/FreeInit-colab
đŽpage: https://tianxingwu.github.io/pages/FreeInit/
đpaper: https://arxiv.org/abs/2312.07537
đĽŠcode: https://github.com/TianxingWu/FreeInit
@Machie_learn
đĽ colab: https://github.com/camenduru/FreeInit-colab
đŽpage: https://tianxingwu.github.io/pages/FreeInit/
đpaper: https://arxiv.org/abs/2312.07537
đĽŠcode: https://github.com/TianxingWu/FreeInit
@Machie_learn
đ1
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đ FIND: Interface Foundation Models' Embeddings
đĽ Code: https://github.com/UX-Decoder/FIND
đ Demo: https://find.xyzou.net/
đŽ Project Page: https://x-decoder-vl.github.io
𼊠Demo: https://find.xyzou.net
đ ArXiv: https://arxiv.org/pdf/2312.07532.pdf
@Machine_learn
đĽ Code: https://github.com/UX-Decoder/FIND
đ Demo: https://find.xyzou.net/
đŽ Project Page: https://x-decoder-vl.github.io
𼊠Demo: https://find.xyzou.net
đ ArXiv: https://arxiv.org/pdf/2312.07532.pdf
@Machine_learn
đ2
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pix2gestalt: Amodal Segmentation by Synthesizing Wholes
đĽ Github: https://github.com/cvlab-columbia/pix2gestalt
đ Paper: https://arxiv.org/pdf/2401.14398v1.pdf
⨠Tasks: https://paperswithcode.com/task/3d-reconstruction
@Machine_learn
đĽ Github: https://github.com/cvlab-columbia/pix2gestalt
đ Paper: https://arxiv.org/pdf/2401.14398v1.pdf
⨠Tasks: https://paperswithcode.com/task/3d-reconstruction
@Machine_learn
đ3
DVT
đĽ Github: https://github.com/zhangzm0128/DVT
đ Paper: https://www.ieee-jas.net/en/article/id/ec6a16fa-d348-417a-af0f-dd734c60439c
đĽDatasets: https://paperswithcode.com/dataset/cifar-10
⨠Tasks: https://paperswithcode.com/task/image-classification
@Machine_learn
đĽ Github: https://github.com/zhangzm0128/DVT
đ Paper: https://www.ieee-jas.net/en/article/id/ec6a16fa-d348-417a-af0f-dd734c60439c
đĽDatasets: https://paperswithcode.com/dataset/cifar-10
⨠Tasks: https://paperswithcode.com/task/image-classification
@Machine_learn
đ1
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đŞ Can machine learning predict chaos?
https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.043252
@Machine_learn
https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.043252
@Machine_learn
đ7
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đ AnyDoor: Zero-shot Object-level Image Customization
đĽ Code: https://github.com/damo-vilab/AnyDoor
đ HF: https://huggingface.co/spaces/xichenhku/AnyDoor-online
đŽ Project Page: https://damo-vilab.github.io/AnyDoor-Page/
đ ArXiv: https://arxiv.org/abs/2307.09481
@Machine_learn
pip install git+https://github.com/cocodataset/panopticapi.git
pip install pycocotools -i https://pypi.douban.com/simple
pip install lvis
đĽ Code: https://github.com/damo-vilab/AnyDoor
đ HF: https://huggingface.co/spaces/xichenhku/AnyDoor-online
đŽ Project Page: https://damo-vilab.github.io/AnyDoor-Page/
đ ArXiv: https://arxiv.org/abs/2307.09481
@Machine_learn
đ2
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đš4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency
đĽ Code: https://github.com/VITA-Group/4DGen
đŽ Project: https://vita-group.github.io/4DGen/
đ ArXiv: https://arxiv.org/abs/2305.06456
@Machine_learn
đĽ Code: https://github.com/VITA-Group/4DGen
đŽ Project: https://vita-group.github.io/4DGen/
đ ArXiv: https://arxiv.org/abs/2305.06456
@Machine_learn
đ4
Vaccine: Perturbation-aware Alignment for Large Language Model
đĽ Github: https://github.com/git-disl/vaccineT
đ Paper: https://arxiv.org/pdf/2402.01109v1.pdf
đĽDatasets: https://paperswithcode.com/dataset/sst
⨠Tasks: https://paperswithcode.com/task/language-modelling
@Machine_learn
đĽ Github: https://github.com/git-disl/vaccineT
đ Paper: https://arxiv.org/pdf/2402.01109v1.pdf
đĽDatasets: https://paperswithcode.com/dataset/sst
⨠Tasks: https://paperswithcode.com/task/language-modelling
@Machine_learn
đ5â¤3
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đĽPhysics-based Text-to-MotionđĽ
đĽ Code: github.com/jiawei-ren/insactor
đ Paper: arxiv.org/abs/2312.17135
âĄď¸ Project: https://jiawei-ren.github.io/projects/insactor/
@Machine_learn
đĽ Code: github.com/jiawei-ren/insactor
đ Paper: arxiv.org/abs/2312.17135
âĄď¸ Project: https://jiawei-ren.github.io/projects/insactor/
@Machine_learn
đ7đĽ3
OReilly.Training.Data.for.Machine.Learning.pdf
21.3 MB
Book: đTraining Data for Machine Learning: Human Supervision from Annotation to Data Science (2023)
Authors: Anthony Sarkis
ISBN: null
year: 2023
pages: 332
Tags: #Machine_learning#Data
@Machine_learn
Authors: Anthony Sarkis
ISBN: null
year: 2023
pages: 332
Tags: #Machine_learning#Data
@Machine_learn
â¤6đ3
đ AMIE: A research AI system for diagnostic medical reasoning and conversations
đĄ Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html
đ Paper: https://arxiv.org/abs/2401.05654
@Machine_learn
đĄ Blog: https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html
đ Paper: https://arxiv.org/abs/2401.05654
@Machine_learn
TimesFM is a forecasting model, pre-trained on a large time-series corpus of 100 billion real world time-points
https://blog.research.google/2024/02/a-decoder-only-foundation-model-for.html
@Machine_learn
https://blog.research.google/2024/02/a-decoder-only-foundation-model-for.html
@Machine_learn
đ4
đˇ InstructIR: High-Quality Image Restoration Following Human Instructions
đĽ Code: https://github.com/mv-lab/InstructIR
đ Project: mv-lab.github.io/InstructIR/
đŽ Colab: https://colab.research.google.com/drive/1OrTvS-i6uLM2Y8kIkq8ZZRwEQxQFchfq
đ Paper: https://arxiv.org/abs/2401.16468
@Machine_learn
đĽ Code: https://github.com/mv-lab/InstructIR
đ Project: mv-lab.github.io/InstructIR/
đŽ Colab: https://colab.research.google.com/drive/1OrTvS-i6uLM2Y8kIkq8ZZRwEQxQFchfq
đ Paper: https://arxiv.org/abs/2401.16468
@Machine_learn
đ7â¤2
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
đĽ Github: https://github.com/IIPL-CAU/SoftEDA
đ Paper: https://arxiv.org/pdf/2402.05591v1.pdf
đĽDatasets: https://paperswithcode.com/dataset/cola
@Machine_learn
đĽ Github: https://github.com/IIPL-CAU/SoftEDA
đ Paper: https://arxiv.org/pdf/2402.05591v1.pdf
đĽDatasets: https://paperswithcode.com/dataset/cola
@Machine_learn
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âď¸ YOLO-World Real-Time Open-Vocabulary Object Detection
đĽ Github: https://github.com/AILab-CVC/YOLO-World
đ Paper: https://arxiv.org/abs/2401.17270
âĄď¸Demo: https://www.yoloworld.cc
đ¤Hf: https://huggingface.co/spaces/stevengrove/YOLO-World
@Machine_learn
đĽ Github: https://github.com/AILab-CVC/YOLO-World
đ Paper: https://arxiv.org/abs/2401.17270
âĄď¸Demo: https://www.yoloworld.cc
đ¤Hf: https://huggingface.co/spaces/stevengrove/YOLO-World
@Machine_learn
â¤5đ3
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âĄď¸ LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
đĽ Github: https://github.com/3DTopia/LGM
đ Paper: https://arxiv.org/abs/2402.05054
đ Demo: https://huggingface.co/spaces/ashawkey/LGM
đť Weights: https://huggingface.co/ashawkey/LGM
⊠Project: https://me.kiui.moe/lgm/
@Machine_learn
đĽ Github: https://github.com/3DTopia/LGM
đ Paper: https://arxiv.org/abs/2402.05054
đ Demo: https://huggingface.co/spaces/ashawkey/LGM
đť Weights: https://huggingface.co/ashawkey/LGM
⊠Project: https://me.kiui.moe/lgm/
@Machine_learn
â¤2
EasyKV
đĽ Github: https://github.com/drsy/easykv
đ Paper: https://arxiv.org/pdf/2402.06262v1.pdf
đĽDatasets: https://paperswithcode.com/dataset/webtext
@Machine_learn
đĽ Github: https://github.com/drsy/easykv
đ Paper: https://arxiv.org/pdf/2402.06262v1.pdf
đĽDatasets: https://paperswithcode.com/dataset/webtext
@Machine_learn
â¤3đ2
Successful Algorithmic Trading (1).pdf
2.2 MB
Book: đSuccessful #AlgorithmicTrading
Authors: By Michael L. Halls-Moore
ISBN: Null
year: 2023
pages: 208
Tags: #Machine_learning# Trading
@Machine_learn
Authors: By Michael L. Halls-Moore
ISBN: Null
year: 2023
pages: 208
Tags: #Machine_learning# Trading
@Machine_learn
đ9