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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🖼️ DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders 🔥

🖥 Code: github.com/piddnad/DDColor

📚 Paper: arxiv.org/abs/2212.11613

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

https://news.1rj.ru/str/DataScienceT
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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

🖥 Github: https://github.com/kaistai/prometheus-vision

📕 Paper: https://arxiv.org/abs/2401.06591v1

🔥Datasets: https://paperswithcode.com/dataset/ok-vqa

https://news.1rj.ru/str/DataScienceT
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💃 (Moore) Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

🖥 Code: https://github.com/MooreThreads/Moore-AnimateAnyone

🚀 Colab: github.com/camenduru/Moore-AnimateAnyone-colab

📚 Paper: arxiv.org/abs/2311.17117

🌟 Project: humanaigc.github.io/animate-anyone/
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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

🖥 Github: https://github.com/kaistai/prometheus-vision

📕 Paper: https://arxiv.org/abs/2401.06591v1

🔥Datasets: https://paperswithcode.com/dataset/ok-vqa

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://news.1rj.ru/str/DataScienceT
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Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

🖥 Github: https://github.com/kai422/iart

📕 Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf

🔥Datasets: https://paperswithcode.com/task/video-super-resolution

Telegram: https://news.1rj.ru/str/DataScienceT
Forwarded from Learn Python Hub
[O’REILLY] Data Science Bookcamp, Video Edition

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• Techniques for computing and plotting probabilities
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• How to organize datasets with clustering algorithms
• How to visualize complex multi-variable datasets
• How to train a decision tree machine learning algorithm

In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

Size: 6.4 GB - Telegram Videos

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🎮 RAP-SAM:Towards Real-Time All-Purpose Segment Anything

🖥 Code: https://github.com/xushilin1/rap-sam

📚 Paper: https://arxiv.org/abs/2401.10228v1

🌟 Dataset : https://paperswithcode.com/dataset/coco

Telegram: https://news.1rj.ru/str/DataScienceT
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InstantID : Zero-shot Identity-Preserving Generation in Seconds

🖥 Code: https://github.com/InstantID/InstantID

🚀 Project: https://instantid.github.io/

📚 Paper: https://arxiv.org/abs/2401.07519
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Depth Anything
Unleashing the Power of Large-Scale Unlabeled Data

[
Paper] [Code] [Demo]

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🔮 Awesome AI Agents

New 🌟 Curated list of AI agents 🌟 !.

150+ AI agents and frameworks.
Filter by usage scenarios .
Filter by open/closed source.
Filter new AI products
Ability to receive updates about a specific AI agent.

🖥 Github: https://github.com/e2b-dev/awesome-ai-agents

🎮 Project: https://e2b.dev/ai-agents
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Forwarded from Learn Python Hub
[ZeroToMastery] PyTorch for Deep Learning

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Only request join to channel and pay 35$ (one time payment - permanent subnoscription) and after payment we will accept your request.
https://news.1rj.ru/str/+m8PrTuog5cgwMzUy

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