⚡️ MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

🖥 Code: https://github.com/PKU-YuanGroup/MoE-LLaVA

🚀 Jupyter: https://github.com/camenduru/MoE-LLaVA-jupyter

📚 Paper: https://arxiv.org/abs/2401.15947

⚡️ MotionDirector: Motion Customization of Text-to-Video Diffusion Models

🖥 Github: https://github.com/showlab/MotionDirector

📕 Paper: https://arxiv.org/abs/2310.08465

⭐️ Project: showlab.github.io/MotionDirector/

Vaccine: Perturbation-aware Alignment for Large Language Model

🖥 Github: https://github.com/git-disl/vaccineT

📕 Paper: https://arxiv.org/pdf/2402.01109v1.pdf

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

✨ Tasks: https://paperswithcode.com/task/language-modelling

This channels is for Programmers, Coders, Software Engineers.

0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages

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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

⭐️ 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

🔥 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

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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/

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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

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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

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

👁️ 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

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

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