ML Research Hub – Telegram
ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta.

How do you use these models?
How can you create apps with them?

Join our free workshop on to learn how to use Llama 3 and create apps with it.

Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive

You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/

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RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation

🖥 Github: https://github.com/hmorimitsu/ptlflow

📕 Paper: https://hmorimitsu.com/publication/2024-icra-rapidflow/

⚡️ Dataset: https://paperswithcode.com/dataset/kitti
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Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

🖥 Github: https://github.com/wangkai930418/DPL

📕 Paper: https://arxiv.org/abs/2405.01496v1

🔥 Dataset: https://neurips.cc/virtual/2023/poster/72801
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Distillation for Multilingual Information Retrieval

🖥 Github: https://github.com/hltcoe/colbert-x

📕 Paper: https://arxiv.org/abs/2405.00977v1

🔥Docs: pypi.org/project/PLAID-X/
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⚡️ Finetuning for Text Classification

If you're looking for something to do this weekend and want to do a little reading and coding, here's the latest chapter from the book Build an LLM from Scratch , on setting up a GPT model to classify SPAM messages with up to 96% accuracy.

The model is small and training on a MacBook Air M3 takes ~ 5 minutes.

Github

https://news.1rj.ru/str/DataScienceT ✅️
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⚡️ LLaVA-NeXT: A Strong Zero-shot Video Understanding Model

LLaVA-NeXT is one of the most powerful open source video understanding models available today, superior to all existing VLMs.

New SoTA!

LLaVA-Next demonstrates high data transfer rates and demonstrates excellent results in zero-shot training.

git clone https://github.com/LLaVA-VL/LLaVA-NeXT


Github: https://github.com/LLaVA-VL/LLaVA-NeXT

Blog: https://llava-vl.github.io/blog/2024-04-30-llava-next-video/

HF: https://huggingface.co/shi-labs/CuMo-mistral-7b

Dataset: https://huggingface.co/datasets/shi-labs/CuMo_dataset

https://news.1rj.ru/str/DataScienceT ✅️
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🐏 AniTalker: Universal Talking Humans 🐏

🥺 SJTU (+AISpeech) unveils AniTalker, a framework that transforms a single static portrait and input audio into animated talking videos with naturally flowing movements.

✅️ Review https://t.ly/MD4yX

🟢 Paper https://arxiv.org/pdf/2405.03121

Project https://x-lance.github.io/AniTalker/

Repo https://github.com/X-LANCE/AniTalker

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