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🍏Ferret: Refer and Ground Anything Anywhere at Any Granularity

🖥 Code: github.com/apple/ml-ferret

🎓 Paper: https://arxiv.org/abs/2310.07704

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🎞ViStripformer (Video-Stripformer)

🖥 Github: https://github.com/pp00704831/ViStripformer

📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf

✨ Tasks: https://paperswithcode.com/task/deblurring

🔥Datasets: https://paperswithcode.com/dataset/gopro

🐱DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

🖥 Code: https://github.com/Kevin-thu/DiffMorpher

🧪OpenXLab: https://openxlab.org.cn/apps/detail/KaiwenZhang/DiffMorpher

🎓 Colab: https://github.com/camenduru/DiffMorpher-colab

🔮 Project Page: https://kevin-thu.github.io/DiffMorpher_page

📚 ArXiv: https://arxiv.org/abs/2312.07409

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⚡️ MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

🖥 Code: https://github.com/TencentARC/MotionCtrl

🎓 Colab: https://github.com/camenduru/MotionCtrl-colab

🔮 Project Page: https://openxlab.org.cn/apps/detail/camenduru/MotionCtrl

📚 ArXiv: https://arxiv.org/abs/2312.03641

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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

🖥 Github: https://github.com/OpenDriveLab/LaneSegNet

📕 Paper: https://arxiv.org/abs/2312.16108v1

🔥Datasets: https://paperswithcode.com/dataset/openlane-v2

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🌹4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

🖥 Code: https://github.com/VITA-Group/4DGen

🔮 Project: https://vita-group.github.io/4DGen/

📚 ArXiv: https://arxiv.org/abs/2305.06456

✔️ AIJack: Security and Privacy Risk Simulator for Machine Learning

Security and Privacy Risk Simulator for Machine Learning.

pip install git+https://github.com/Koukyosyumei/AIJack

🖥 Code: https://github.com/microsoft/promptbench

🌟 Docs: https://promptbench.readthedocs.io/en/latest/

📚 Paper: https://arxiv.org/abs/2312.07910v1

⚡️ Dataset: https://paperswithcode.com/dataset/mmlu

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🎙OpenVoice: Versatile Instant Voice Cloning

🖥 Code: https://github.com/myshell-ai/OpenVoice

📚 Paper: https://arxiv.org/abs/2312.01479

⚡️ Page: https://research.myshell.ai/open-voice

🌟 Colab: https://github.com/camenduru/OpenVoice-colab

StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

paper: https://arxiv.org/pdf/2312.12491v1.pdf

source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file

https://news.1rj.ru/str/DataScienceT

🦜 DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models

🖥 Code: https://github.com/ali-vilab/dreamtalk

📚 Paper: https://arxiv.org/abs/2312.09767

⚡️ Page: https://dreamtalk-project.github.io

🌟 Colab: https://github.com/camenduru/dreamtalk-colab

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TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming

🖥 Github: https://github.com/IITB-LEAP-OCR/TEXTRON

📕 Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf

🔥Datasets: https://paperswithcode.com/dataset/docbank

✨ Tasks: https://paperswithcode.com/task/optical-character-recognition

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GridFormer: Point-Grid Transformer for Surface Reconstruction

Paper:
https://arxiv.org/pdf/2401.02292.pdf

GitHub:
https://github.com/list17/GridFormer

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🦾 Free Course: The Hands-on Reinforcement Learning course 🚀

Reinforcement learning is a type of machine learning in which the system under test learns by interacting with some environment.

This is a step-by-step, practical course that will help you learn RL from the very basics.

💻 Course: https://www.realworldml.xyz/the-hands-on-reinforcement-learning-course

🖥 Github: https://github.com/Paulescu/hands-on-rl

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TinyLlama-1.1B

🖥 Github: https://github.com/jzhang38/tinyllama

📕 Paper: https://arxiv.org/pdf/2401.02385v1.pdf

🔥Datasets: https://paperswithcode.com/dataset/mmlu

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🔰 Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4

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Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Taught By: Hadelin de Ponteves, Kirill Eremenko

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⭐️ Link Download: https://news.1rj.ru/str/c/1943137813/408

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🖥 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 Karpathy’s fantastic YouTube video: Let’s build GPT.

📌 Notebook: https://blog.matdmiller.com/posts/2023-06-10_transformers/notebook.html

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🧠 BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis

git clone https://github.com/buaavrcg/BakedAvatar
cd BakedAvatar

🖥 Code: https://github.com/buaavrcg/BakedAvatar

📚 Paper: https://dl.acm.org/doi/10.1145/3618399

⚡️ Page: https://buaavrcg.github.io/BakedAvatar/

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