FastEndpoints
Pytorch
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FastEndpoints | Pytorch | |
---|---|---|
15 | 338 | |
3,904 | 77,783 | |
6.4% | 2.4% | |
9.7 | 10.0 | |
4 days ago | 6 days ago | |
C# | Python | |
MIT License | BSD 1-Clause License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FastEndpoints
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Choosing Between Controllers and Minimal API for .NET APIs
Bonus Time! In addition to the Microsoft-supported methods above, many community frameworks exist for building APIs with .NET. FastEndpoints is an option I found recently that seems very promising. With performance benchmarks that put them on par with Minimal API, they are firmly ahead of Controller-based APIs.
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How do you structure large Minimal API Projects?
Have you had a look at FastEndpoints yet? Any thoughts?
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Microsoft launches new app store for Windows – from React to Shoelace, Lit, Vite
And yet, all Microsoft's demos for the upcoming changes for Blazor in .NET 8 (like SSR) has been a public facing recipe site (e.g. https://www.youtube.com/watch?v=QD2-DwuOfKM). I'd say this is a very similar use case as the Microsoft Store.
I love .NET and ASP.NET Core, but I use it purely for backend. And even there, I use 3rd party libraries like Fast Endpoints (https://fast-endpoints.com/). Microsoft keeps bringing in new technologies and effectively abandoning the ones that fall out of favour (look at the progression from MVC -> Razor Pages -> Blazor). I do not blame the Microsoft Store team for not trusting the .NET team to not simply abandon Blazor as well somewhere down the line and instead opt for other technologies for the front-end.
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Idea validation | low-code API factory
I also find a very similar framework in .NET "Fast Endpoints"
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Easiest way to build the fastest REST API in C# and .NET 7 using CQRS
I gave it a go and I was impressed how easy and fast it was to set it all up. Since I'm not a big fan of REPR pattern almost all my projects are using CQRS pattern with a help of MediatR ](https://github.com/jbogard/MediatR) I immediately started going over something similar that Fast Endpoints offer which is a command bus.
- Should I utilize C#/.NET Core, or go with Typescript for a React front end?
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Which 'part' of dotnet should I learn for backend web dev?
Ive personally been using FastEndpoints which is a community built thing on top of minimal apis - https://fast-endpoints.com/
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Reprise - a micro-framework that brings the REPR pattern into Minimal APIs
I've just started to use a similar thing, and it's so much better than controllers - https://fast-endpoints.com/
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Easiest/Standard way to implement a simple HTTP REST API?
Sort of minimal but check out FastEndpoint. https://fast-endpoints.com/
Pytorch
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
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Building a GPT Model from the Ground Up!
import torch # we use PyTorch: https://pytorch.org data = torch.tensor(encode(text), dtype=torch.long) print(data.shape, data.dtype) print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
What are some alternatives?
ApiEndpoints - A project for supporting API Endpoints in ASP.NET Core web applications.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Carter - Carter is framework that is a thin layer of extension methods and functionality over ASP.NET Core allowing code to be more explicit and most importantly more enjoyable.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Refit - The automatic type-safe REST library for .NET Core, Xamarin and .NET. Heavily inspired by Square's Retrofit library, Refit turns your REST API into a live interface.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
SqlClient - Microsoft.Data.SqlClient provides database connectivity to SQL Server for .NET applications.
flax - Flax is a neural network library for JAX that is designed for flexibility.
RestSharp - Simple REST and HTTP API Client for .NET
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
NetCoreServer - Ultra fast and low latency asynchronous socket server & client C# .NET Core library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols and 10K connections problem solution
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more