Towards Learning a Generalist Model for Embodied Navigation
🖥 Github: https://github.com/zd11024/NaviLLM
📕 Paper: https://arxiv.org/pdf/2312.02010v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/room-to-room
✨ Tasks: https://paperswithcode.com/task/3d-question-answering-3d-qa
🖥 Github: https://github.com/zd11024/NaviLLM
📕 Paper: https://arxiv.org/pdf/2312.02010v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/room-to-room
✨ Tasks: https://paperswithcode.com/task/3d-question-answering-3d-qa
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Paved2Paradise
🖥 Github: https://github.com/airalcorn2/paved2paradise
📕 Paper: https://arxiv.org/pdf/2312.01117v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/kitti
🖥 Github: https://github.com/airalcorn2/paved2paradise
📕 Paper: https://arxiv.org/pdf/2312.01117v1.pdf
🔥Datasets: https://paperswithcode.com/dataset/kitti
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Forwarded from Machine Learning with Python
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🖥 Hitchhiker's Guide to Python
Python Best Practices Guidebook
A guide to best practices for installing, configuring and using Python on a daily basis, including pip, numpy, virtualenv and more.
Resources: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A/110
Python Best Practices Guidebook
A guide to best practices for installing, configuring and using Python on a daily basis, including pip, numpy, virtualenv and more.
Resources: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A/110
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Awesome Radar Perception
🖥 Github: https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception
📕 Paper: https://arxiv.org/pdf/2312.04861.pdf
✨ Tasks: https://paperswithcode.com/task/object-detection
🖥 Github: https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception
📕 Paper: https://arxiv.org/pdf/2312.04861.pdf
✨ Tasks: https://paperswithcode.com/task/object-detection
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📚 LlaVa Demo with LlamaIndex
In this example, we illustrate how we use LlaVa for belowing tasks:
▪Retrieval Augmented Image Captioning
▪Pydantic Structured Output
▪Multi-Modal Retrieval-Augmented Generation (RAG) using Llava-13b
🖥 Github: https://github.com/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🔍 Colab: https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🪩 Paper: https://arxiv.org/abs/2304.08485
💻 Website: https://llava-vl.github.io/
🔥 YouTube: https://youtube.com/watch?v=k7i2BpeLUss
In this example, we illustrate how we use LlaVa for belowing tasks:
▪Retrieval Augmented Image Captioning
▪Pydantic Structured Output
▪Multi-Modal Retrieval-Augmented Generation (RAG) using Llava-13b
🖥 Github: https://github.com/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🔍 Colab: https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb
🪩 Paper: https://arxiv.org/abs/2304.08485
💻 Website: https://llava-vl.github.io/
🔥 YouTube: https://youtube.com/watch?v=k7i2BpeLUss
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🌍 BioCLIP: A Vision Foundation Model for the Tree of Life
- paper: https://arxiv.org/abs/2311.18803
- project: https://imageomics.github.io/bioclip/
- demo: https://huggingface.co/spaces/imageomics/bioclip-demo
- model: https://huggingface.co/imageomics/bioclip
- paper: https://arxiv.org/abs/2311.18803
- project: https://imageomics.github.io/bioclip/
- demo: https://huggingface.co/spaces/imageomics/bioclip-demo
- model: https://huggingface.co/imageomics/bioclip
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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
🕸replicate: https://replicate.com/camenduru/dynami-crafter
🌐page: https://doubiiu.github.io/projects/DynamiCrafter
📄paper: https://arxiv.org/abs/2310.12190
🧬code: https://github.com/Doubiiu/DynamiCrafter
🕸replicate: https://replicate.com/camenduru/dynami-crafter
👍2
BatchER
🖥 Github: https://github.com/fmh1art/batcher
📕 Paper: https://arxiv.org/pdf/2312.03987v1.pdf
✨ Tasks: https://paperswithcode.com/task/data-integration
🖥 Github: https://github.com/fmh1art/batcher
📕 Paper: https://arxiv.org/pdf/2312.03987v1.pdf
✨ Tasks: https://paperswithcode.com/task/data-integration
👍3❤2
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⚡️ LLM360 - framework for open-source LLMs to foster transparency, trust, and collaborative research
🖥Code: https://short.llm360.ai/amber-code
⚡️ Model: https://short.llm360.ai/amber-model
🖌Metrics: https://short.llm360.ai/amber-metrics
📚Data: https://short.llm360.ai/amber-data
🖥Code: https://short.llm360.ai/amber-code
⚡️ Model: https://short.llm360.ai/amber-model
🖌Metrics: https://short.llm360.ai/amber-metrics
📚Data: https://short.llm360.ai/amber-data
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Syn-Rep-Learn
🖥 Github: https://github.com/google-research/syn-rep-learn
📕 Paper: https://arxiv.org/pdf/2312.04567v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
🖥 Github: https://github.com/google-research/syn-rep-learn
📕 Paper: https://arxiv.org/pdf/2312.04567v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
👍3
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🌟 TRANSFORM YOUR SELFIES INTO CAPTIVATING LOOKS 🌟
🤩 Create diverse looks with a single uploaded photo
🔥 Explore hairstyles, genders, and skin tones effortlessly
😍 Try on outfits inspired by popular characters or fashion trends
🌴 Immerse yourself in different scenarios and locations
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👩 Upload a close-up photo of your face
✏️ Choose from a standard gallery or write your own denoscription
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🤩 Create diverse looks with a single uploaded photo
🔥 Explore hairstyles, genders, and skin tones effortlessly
😍 Try on outfits inspired by popular characters or fashion trends
🌴 Immerse yourself in different scenarios and locations
👇 HOW TO 👇
✅ Run the bot
👩 Upload a close-up photo of your face
✏️ Choose from a standard gallery or write your own denoscription
🔥 Enjoy the results and share on social media!
👉 TRY NOW FOR FREE 👈
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⚡️ UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models ✒ Colab 🥳
🖥 code: https://github.com/ZYM-PKU/UDiffText
⚡️page: https://udifftext.github.io
📚 paper: https://arxiv.org/abs/2312.04884
🔥colab: https://github.com/camenduru/UDiffText-colab
🖥 code: https://github.com/ZYM-PKU/UDiffText
⚡️page: https://udifftext.github.io
📚 paper: https://arxiv.org/abs/2312.04884
🔥colab: https://github.com/camenduru/UDiffText-colab
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📲 CogAgent: A Visual Language Model for GUI Agents
A state-of-the-art-level open visual language model.
🖥 code: https://github.com/thudm/cogvlm
📚 paper: https://arxiv.org/abs/2312.08914v1
🔥dataset: https://paperswithcode.com/dataset/ok-vqa
A state-of-the-art-level open visual language model.
🖥 code: https://github.com/thudm/cogvlm
📚 paper: https://arxiv.org/abs/2312.08914v1
🔥dataset: https://paperswithcode.com/dataset/ok-vqa
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🔊 Amphion: An Open-Source Audio, Music, and Speech Generation Toolkit
🖥 GitHub: https://github.com/open-mmlab/Amphion
📚 Paper: arxiv.org/abs/2312.09911
🥩 HF: https://huggingface.co/amphion
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🖥 GitHub: https://github.com/open-mmlab/Amphion
📚 Paper: arxiv.org/abs/2312.09911
🥩 HF: https://huggingface.co/amphion
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