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tutorials
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Ask HN: Is there a tutorial avaible for Deep Learning based Upscaling
There are plenty of tutorials for Deep Learning available, https://pytorch.org/tutorials/. Does anyone know of a tutorial or example of Image Upscaling in a similar vain to Nvidia's DLSS?
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Best Portfolio Projects for Data Science
Pytorch Documentation
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unique game idea ( literally )
PyTorch: https://pytorch.org/tutorials/
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How to learn PyTorch?
There's a TON of tutorials in the pytorch tutorials section, they're pretty solid. If you know what area you're specifically interested in, check to see if you can find some relevant tutorials to start with.
- What are some good pytorch courses online?
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How do I get started with ML?
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.
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How do I activate the TPU when using pytorch (code inside)?
The code looks almost identical to this: https://github.com/pytorch/tutorials/blob/master/beginner_source/chatbot_tutorial.py
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How to Implement Feed Forward NN in PyTorch for Classification
Well the pytorch documentation is pretty good. (https://pytorch.org/tutorials/)
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PyTorch Tutorial for People with Keras/Tensorflow experience?
Pytorch tutorials https://pytorch.org/tutorials/ on their official website has all the basic commands and should be easier to pickup since you already know tensorflow/ keras.
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PyTorch introduces ‘nvFuser’: a Deep Learning Compiler for NVIDIA GPUs that automatically just-in-time compiles fast and flexible kernels to reliably accelerate users’ networks
Continue reading |Github link | Reference article
Bootstrap
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Integrate Bootstrap with React
This article serves as your comprehensive guide to mastering the art of combining Bootstrap and React seamlessly. Dive in to uncover the tips, tricks, and best practices to elevate your UI design game effortlessly.
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Free Bootstrap Themes and Templates to Download in 2024
Bootstrap is already a popular framework among the web developers. And, these free templates makes it even more convenient to use Bootstrap in your projects.
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How to use Tailwind with any CSS framework
Tailwind is great, but creating everything from scratch is annoying. A nice base of components which can be extended with tailwind would be great. There are a few tailwind frameworks like Flowbite, Daisy Ui, but I like Bulma, PicoCSS and Bootstrap.
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The origin and virtues of semicolons in programming languages
In the JavaScript world, tread cautiously on this passionate topic. https://github.com/twbs/bootstrap/issues/3057
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Building a Dynamic Client-Side Blog with Secutio & Bootstrap
To effectively demonstrate Secutio's capabilities for rapid web development, we've chosen the popular Bootstrap framework as a foundation. Bootstrap provides a robust and user-friendly interface, making it an ideal choice for building the project's base.
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Build a Serverless S3 Explorer with Dash
With all this preamble out of the way, we can finally focus on the app. To make it easier to build a not-awful-looking website, I installed the dash-bootstrap-components which give us access to a variety of components from the bootstrap frontend framework. This will make styling and building the app easier.
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How to Become a Front-End Developer?
For CSS, Bootstrap is the go-to framework for many developers. But there are other popular ones too, like Angular, React, and Vue. You don't have to learn every single framework out there—just pick the ones that are most relevant to your projects and match current industry trends and your learning preferences.
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Exploring Tailwind Oxide
For those unfamiliar with Tailwind CSS, it is a utility-first framework with pre-defined classes for you to create custom designs. Before its creation, developers who wrote CSS were limited to two options: either writing custom CSS or using a toolkit like Bootstrap. However, both approaches came with drawbacks. Writing custom CSS was a lot of work, and using Bootstrap limited you in styling unless you added custom CSS on top.
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Full Stack Web Development Concept map
bootstrap - toolkit for styling websites. Has lots of themes and capabilities. docs
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Rapid Prototyping with Flask, Bootstrap and Secutio
To make the demo more interesting, we will use the Bootstrap framework and Flask as the backend.
What are some alternatives?
dex-lang - Research language for array processing in the Haskell/ML family
vuetify - 🐉 Vue Component Framework
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
mantine - A fully featured React components library
FlexFlow - FlexFlow Serve: Low-Latency, High-Performance LLM Serving
awesome-blazor - Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
adaptdl - Resource-adaptive cluster scheduler for deep learning training.
Svelte - Cybernetically enhanced web apps
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
antd - An enterprise-class UI design language and React UI library
pytorch_geometric - Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric]
primeng - The Most Complete Angular UI Component Library