Python | Machine Learning | Coding

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Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati

This is a course on neural networks from the very basics, perhaps the best on the entire Internet.
The course is a series of YouTube videos in which Karpathy shows how to design and train neural networks.
All these results are written in Jupyter-Notebooks, you can download them and experiment

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Neural Networks: Zero to Hero

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http://t.me/codeprogrammer

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Python | Machine Learning | Coding | R

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Megatron-Core - PyTorch library for training Transformers

docker run --ipc=host --shm-size=512m --gpus all -it nvcr.io/nvidia/pytorch:24.02-py3

pip install megatron_core
pip install tensorstore==0.1.45
pip install zarr

Megatron-Core is a self-contained, lightweight PyTorch library that contains everything you need to train Transformers.
Offers a large collection of GPU techniques for optimizing memory and calculations, uses a lot of developments from Megatron-LM and Transformer Engine.

Megatron-Core provides flexibility for developers and makes it easy to develop their own LLM framework on NVIDIA computing infrastructure.

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GitHub

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Docks

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http://t.me/codeprogrammer

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Python | Machine Learning | Coding | R

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A comprehensive toolbox of data scientists

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Access to 500+ TB of data science content

🖥 The Data Scientist Toolkit is the result of my five-year effort in the field of data science, which is an extremely comprehensive and extensive resource for those who want to become a professional data scientist. So don't miss this source

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This toolbox includes the following sections:

📚 Access to a wide bank of scientific files, training courses and professional resources in the field of data science.

💯 More than a decade of applied data science theses in finance, medicine, logistics and security.

🏛 The latest data science courses from leading universities in the world such as Stanford, MIT and Berkeley.

🚀 And over 300+ terabytes of data science courses for experienced data scientists.

┌ 🐱 GitHub Repository
└ ⏩ The Data Scientist's Toolbox

🌐 http://t.me/codeprogrammer

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13.8K viewsedited 10:32

Python | Machine Learning | Coding | R

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📄

The best free courses to learn data science

┌ 🏷 CS229: Machine Learning
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LINK

┌ 🏷 MIT: Linear Algebra
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LINK

┌ 🏷 MIT: Introduction to Algorithms
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LINK

┌ 🏷 MIT: Applied Probability
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LINK

┌ 🏷 Stanford: Relational Databases & SQL
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LINK

🌐 http://t.me/codeprogrammer

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Python | Machine Learning | Coding | R

A collection of completely free neural nets on hugginface

You can use them to do cool photo upscaling, remove backgrounds, edit images and more.

All the models are free and opensource here: huggingface.

🌐 http://t.me/codeprogrammer

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8.5K viewsedited 21:33

Python | Machine Learning | Coding | R

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Python Machine Learning Notebooks (Tutorial style)

🔗 Link: https://machine-learning-with-python.readthedocs.io/en/latest/

🌐 http://t.me/codeprogrammer

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8.6K viewsedited 18:01

Python | Machine Learning | Coding | R

🤖 Mistral has released a neural network that knows more than 80 programming languages. Codestral surpasses such giants as Llama-3 and CodeLlama, as well as... GPT-4o, and yet weighs three times less!

This model knows how to write and improve code, suggests the best solutions to problems and even knows design patterns. You can connect it to your projects via API or just use it in VS Code. For olds: the neural network even knows Fortran and COBOL.

Use it here or directly in your browser here.

#GPT4 #AI #PYTHON

🌐 http://t.me/codeprogrammer ✅️

8.8K viewsedited 11:09

Python | Machine Learning | Coding | R

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Top 10 YouTube Channels to Explore AI

We’ve carefully selected the best YouTube channels for diving deep into AI:

1. Sentdex: Python and machine learning tutorials.
2. Two Minute Papers: Quick AI research summaries.
3. Siraj Raval: Accessible AI education.
4. TensorFlow: Tutorials and demos on this open-source library.
5. Lex Fridman: Interviews with AI experts.
6. Matt Wolfe: AI news, reviews, and tutorials.
7. AI Explained: Simplifying complex AI concepts.
8. DeepLearning.AI: Courses by Andrew Ng.
9. Yannic Kilcher: Practical AI tutorials.
10. Data School: Data science and machine learning tutorials.

Check out these channels for more!

#AI #MACHINELEARNING #PYTHON

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http://t.me/codeprogrammer

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8.7K viewsedited 09:06

Python | Machine Learning | Coding | R

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Python cheat sheet, which contains small scripts for solving everyday problems

By the way, here are some of them:

✔️ add the sample.txt file to the .tar.gz archive:

import tarfile
with tarfile.open('sample.tar.gz', 'w:gz') as tar:
tar.add('sample.txt')

✔️ clear output of differences between strings

import difflib
diff = difflib.ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
'ore\ntree\nemu\n'.splitlines(keepends=True))
print(''.join(diff))

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Crib

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#python

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http://t.me/codeprogrammer

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