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🏆 DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
🌐 page: https://doubiiu.github.io/projects/DynamiCrafter
📄 paper: https://arxiv.org/abs/2310.12190
🧬 code: https://github.com/Doubiiu/DynamiCrafter
Telegram: https://news.1rj.ru/str/DataScienceT
🌐 page: https://doubiiu.github.io/projects/DynamiCrafter
📄 paper: https://arxiv.org/abs/2310.12190
🧬 code: https://github.com/Doubiiu/DynamiCrafter
Telegram: https://news.1rj.ru/str/DataScienceT
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🔢 DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
🖥 Github: https://github.com/deepseek-ai/deepseek-math
📚 Paper: https://arxiv.org/abs/2402.03300v1
🦾 Dataset: https://paperswithcode.com/dataset/math
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/deepseek-ai/deepseek-math
📚 Paper: https://arxiv.org/abs/2402.03300v1
🦾 Dataset: https://paperswithcode.com/dataset/math
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍6❤1
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🧪 demo: https://ttsdemo.themetavoice.xyz
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👍8
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⭐️ YOLO-World Real-Time Open-Vocabulary Object Detection
🖥 Github: https://github.com/AILab-CVC/YOLO-World
📚 Paper: https://arxiv.org/abs/2401.17270
⚡️Demo: https://www.yoloworld.cc
🤗 Hf: https://huggingface.co/spaces/stevengrove/YOLO-World
🖥 Github: https://github.com/AILab-CVC/YOLO-World
📚 Paper: https://arxiv.org/abs/2401.17270
⚡️Demo: https://www.yoloworld.cc
🤗 Hf: https://huggingface.co/spaces/stevengrove/YOLO-World
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🔥 EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction
🖥 Github: https://github.com/mit-han-lab/efficientvit
📚 Paper: https://arxiv.org/abs/2205.14756
⏩ Tutorial: https://www.jetson-ai-lab.com/vit/tutorial_efficientvit.html
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/mit-han-lab/efficientvit
📚 Paper: https://arxiv.org/abs/2205.14756
⏩ Tutorial: https://www.jetson-ai-lab.com/vit/tutorial_efficientvit.html
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
❤2👍2
Forwarded from Shohruh
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Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
https://news.1rj.ru/str/DeepLearning_ai
https://news.1rj.ru/str/MachineLearning_Programming
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
https://news.1rj.ru/str/DeepLearning_ai
https://news.1rj.ru/str/MachineLearning_Programming
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⚡️ LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
🖥 Github: https://github.com/3DTopia/LGM
📚 Paper: https://arxiv.org/abs/2402.05054
🔗 Demo: https://huggingface.co/spaces/ashawkey/LGM
💻 Weights: https://huggingface.co/ashawkey/LGM
⏩ Project: https://me.kiui.moe/lgm/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/3DTopia/LGM
📚 Paper: https://arxiv.org/abs/2402.05054
🔗 Demo: https://huggingface.co/spaces/ashawkey/LGM
💻 Weights: https://huggingface.co/ashawkey/LGM
⏩ Project: https://me.kiui.moe/lgm/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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🦾 Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
🖥 Github: https://github.com/uclaml/SPIN
📚 Paper: https://arxiv.org/abs/2401.01335
⏩ Project: https://uclaml.github.io/SPIN/
💻 Model: https://huggingface.co/collections/UCLA-AGI/zephyr-7b-sft-full-spin-65c361dfca65637272a02c40
🛡 Dataset: https://huggingface.co/collections/UCLA-AGI/datasets-spin-65c3624e98d4b589bbc76f3a
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/uclaml/SPIN
📚 Paper: https://arxiv.org/abs/2401.01335
⏩ Project: https://uclaml.github.io/SPIN/
💻 Model: https://huggingface.co/collections/UCLA-AGI/zephyr-7b-sft-full-spin-65c361dfca65637272a02c40
🛡 Dataset: https://huggingface.co/collections/UCLA-AGI/datasets-spin-65c3624e98d4b589bbc76f3a
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
🖥 Github: https://github.com/IIPL-CAU/SoftEDA
📕 Paper: https://arxiv.org/pdf/2402.05591v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/cola
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/IIPL-CAU/SoftEDA
📕 Paper: https://arxiv.org/pdf/2402.05591v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/cola
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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EasyKV
🖥 Github: https://github.com/drsy/easykv
📕 Paper: https://arxiv.org/pdf/2402.06262v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/webtext
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/drsy/easykv
📕 Paper: https://arxiv.org/pdf/2402.06262v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/webtext
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍3
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👁️ HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
🖥 Github: https://github.com/Shengcao-Cao/HASSOD
📚 Paper: https://arxiv.org/abs/2402.03311
⏩ Project: https://hassod-neurips23.github.io/
💻 Video: https://www.youtube.com/watch?v=s8u7tEKg5ew
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/Shengcao-Cao/HASSOD
📚 Paper: https://arxiv.org/abs/2402.03311
⏩ Project: https://hassod-neurips23.github.io/
💻 Video: https://www.youtube.com/watch?v=s8u7tEKg5ew
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
📄 https://arxiv.org/pdf/2401.02076.pdf
💻 https://github.com/SARIHUST/SAMMed
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
📄 https://arxiv.org/pdf/2401.02076.pdf
💻 https://github.com/SARIHUST/SAMMed
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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🧠 SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
▪Paper: https://arxiv.org/pdf/2402.03620.pdf
▪LangChain example: https://github.com/langchain-ai/langchain/blob/master/cookbook/self-discover.ipynb
▪LangGraph example: https://github.com/langchain-ai/langgraph/blob/main/examples/self-discover/self-discover.ipynb
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
▪Paper: https://arxiv.org/pdf/2402.03620.pdf
▪LangChain example: https://github.com/langchain-ai/langchain/blob/master/cookbook/self-discover.ipynb
▪LangGraph example: https://github.com/langchain-ai/langgraph/blob/main/examples/self-discover/self-discover.ipynb
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
🖥 Github: https://github.com/jiangyctarheel/sq-transformer
📕 Paper: https://arxiv.org/pdf/2402.06492v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/wmt-2014
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/jiangyctarheel/sq-transformer
📕 Paper: https://arxiv.org/pdf/2402.06492v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/wmt-2014
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍2
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⚡️ Magic-Me: Identity-Specific Video Customized Diffusion.
▪Github: https://github.com/Zhen-Dong/Magic-Me
▪Colab: https://colab.research.google.com/drive/1gMialn4nkGeDZ72yx1Wob1E1QBgrqeGa
▪Project: https://magic-me-webpage.github.io
▪Paper: arxiv.org/abs/2402.09368
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
▪Github: https://github.com/Zhen-Dong/Magic-Me
▪Colab: https://colab.research.google.com/drive/1gMialn4nkGeDZ72yx1Wob1E1QBgrqeGa
▪Project: https://magic-me-webpage.github.io
▪Paper: arxiv.org/abs/2402.09368
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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⚡️ V-JEPA: The next step toward Yann LeCun’s vision of advanced machine intelligence (AMI)
▪Github: https://github.com/facebookresearch/jepa
▪Paper: https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/
▪Blog: https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
▪Github: https://github.com/facebookresearch/jepa
▪Paper: https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/
▪Blog: https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
👍5
MIM-Refiner
🖥 Github: https://github.com/ml-jku/MIM-Refiner
🔖 Paper: https://arxiv.org/pdf/2402.10093v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/imagenet
✨ Tasks: https://paperswithcode.com/task/image-clustering
🟢 Telegram: https://news.1rj.ru/str/DataScienceT
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👍4
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Video Generation with Motions & Facial Expressions Transfer.
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👍4❤1