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💃 GENMO: Generalist Human Motion by NVIDIA 💃

NVIDIA introduces GENMO, a unified generalist model for human motion that seamlessly combines motion estimation and generation within a single framework. GENMO supports conditioning on videos, 2D keypoints, text, music, and 3D keyframes, enabling highly versatile motion understanding and synthesis.

Currently, no official code release is available.

Review:
https://t.ly/Q5T_Y

Paper:
https://lnkd.in/ds36BY49

Project Page:
https://lnkd.in/dAYHhuFU

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Some projects don’t scream for attention — they quietly change the way we learn🧑‍🎓.
Python Data Science Handbook is one of them📖.


🧑‍🎓 What is it?

A powerful open-source GitHub repository by Jake VanderPlas.
It turns his bestselling book into interactive Jupyter notebooks that teach:

🧮 NumPy → fast array operations

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Imagine an AI assistant for data scientists that builds an entire Jupyter notebook on request

Data Copilot - is like Cursor, but it is designed for working with data📊

Imports Dataset, cleans it, teaches models, tests it - all in one pass✅.

And yes, he is completely open-source 🤝.

📝 Documentation

🖥 GitHub
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4️⃣In this repository… you don’t just understand — you experience it😱.

🔗Machine-Learning-Projects by Aswin S isn’t just a collection of code👨‍💻.
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🛸 What’s inside?

A curated set of practical projects that turn theory into action:

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You can run everything directly in Google Colab — no setup required⚙.


🖥 GitHub

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🐍Looking to get started with Deep Learning using PyTorch?

This well-structured GitHub repository is a goldmine for beginners who want to learn PyTorch with hands-on examples and clear explanations📖.

🗂 What’s Inside?

🈂 Jupyter Notebooks with interactive code.
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✅ Beginner-friendly but also great for revision.

💡If you're serious about learning AI, this is one of the best free resources to kick off your journey🤝.

🖥 GitHub

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Found a cool tool for those who work with Pandas🐻.

You can now automatically profile a DataFrame in Jupyter with Pandas AutoProfiler.

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Everything works automatically - no need to write additional code🤝.

🖥 GitHub

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Have you ever opened a GitHub repository and wished someone would explain everything step by step?

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👩‍💻 The best repository for learning artificial intelligence practically🎓!

📌 The official GitHub repository for the book
Hands-On Machine Learning (2nd Edition)

📔 Contains Jupyter notebooks covering:

⚪️Machine Learning Principles (Linear Models, Decision Trees, SVM).
⚪️Unsupervised Algorithms (Clustering, PCA).
⚪️Advanced Neural Networks (ANN, CNN, RNN, LSTM).
⚪️How Transformers Work.
⚪️Reinforcement Learning.
⚪️Building and Training Models with TensorFlow 2 & Keras.
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🖥 GitHub

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