tutorials

PyTorch tutorials. (by pytorch)

Tutorials Alternatives

Similar projects and alternatives to tutorials

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better tutorials alternative or higher similarity.

tutorials reviews and mentions

Posts with mentions or reviews of tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-19.
  • Best Portfolio Projects for Data Science
    3 projects | dev.to | 19 Sep 2023
    Pytorch Documentation
  • How do I get started with ML?
    2 projects | /r/ChatGPT | 17 Mar 2023
    Learn Python: Python is the most popular language for ML and AI projects. Start by learning the basics of Python, then move on to more advanced topics. Some great resources for learning Python include: Codecademy's Python course: https://www.codecademy.com/learn/learn-python Real Python: https://realpython.com/ Mathematics: A solid understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is essential for ML. Here are some resources to help you learn: Khan Academy courses: Linear Algebra: https://www.khanacademy.org/math/linear-algebra Calculus: https://www.khanacademy.org/math/calculus-1 Probability and Statistics: https://www.khanacademy.org/math/statistics-probability 3Blue1Brown's YouTube series on Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Data processing and manipulation: Familiarize yourself with popular Python libraries for data manipulation and analysis, such as NumPy, pandas, and matplotlib: NumPy: https://numpy.org/doc/stable/user/quickstart.html pandas: https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/index.html matplotlib: https://matplotlib.org/stable/tutorials/index.html Machine learning concepts: Learn about the basic concepts of ML, including supervised learning, unsupervised learning, and reinforcement learning. Some great resources include: Coursera's Machine Learning course by Andrew Ng: https://www.coursera.org/learn/machine-learning Google's Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course Fast.ai's Practical Deep Learning for Coders course: https://course.fast.ai/ Deep learning libraries: Get familiar with popular deep learning libraries such as TensorFlow and PyTorch: TensorFlow: https://www.tensorflow.org/tutorials PyTorch: https://pytorch.org/tutorials/ Specialize and work on projects: Choose an area of interest (such as natural language processing, computer vision, or reinforcement learning), and start working on projects to apply your skills. You can find datasets and project ideas from sources like: Kaggle: https://www.kaggle.com/ Papers With Code: https://paperswithcode.com/ Stay up-to-date and join the community: Follow ML blogs, podcasts, and conferences to stay current with the latest developments. Join ML communities and forums like r/MachineLearning on Reddit, AI Stack Exchange, or specialized Discord and Slack groups.
  • Introduction to PyTorch
    7 projects | dev.to | 2 May 2022
    PyTorch Tutorials
  • Looking For A Master Thesis Website Project Ideas For Graduating Computer And Communication Engineering Student.
    5 projects | /r/webdev | 20 Mar 2022
    If you are looking for inspiration in terms of what the app will actually do, I'd actually look over the PyTorch tutorials here: https://pytorch.org/tutorials/ There are quite a few categories with examples and datasets that might give you inspiration for a project.
  • Why are some PyTorch missing from pytorch.org/tutorials ?
    3 projects | /r/learnmachinelearning | 1 Apr 2021
    However, it is reachable in tutorial's github, https://github.com/pytorch/tutorials/tree/master/beginner_source/basics
    3 projects | /r/learnmachinelearning | 1 Apr 2021
    I discovered that some tutorials like https://pytorch.org/tutorials/beginner/basics/data_tutorial.html is not included in https://pytorch.org/tutorials/.
  • [N] PyTorch 1.8 Release, including Compiler and Distributed Training updates, New Mobile Tutorials
    7 projects | /r/MachineLearning | 4 Mar 2021
    Since it provides you a general computational graph, you can also perform arbitrary analyses on your graph, like using it to profile each operation in your graph (https://github.com/pytorch/tutorials/blob/master/intermediate_source/fx_profiling_tutorial.py).
  • A note from our sponsor - SaaSHub
    www.saashub.com | 28 Mar 2024
    SaaSHub helps you find the best software and product alternatives Learn more →

Stats

Basic tutorials repo stats
30
7,727
9.4
6 days ago
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com