teleren/devto huggingface dataset:
Нейросеть Cора онлайн можно будет попробовать на сайте ChatRUnet
Tags: sora, neyro
Published: 2024-03-24 09:48:40


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8awhzhdj4hyk7bd5wqud.jpg)
Нейросеть Sora от OpenAI – это инновационная технология, которая открывает новые возможности для создания видеоконтента. Она основана на передовых алгоритмах искусственного интеллекта, что позволяет преобразовывать текстовые запросы в захватывающие визуальные образы. Но насколько эта технология уникальна и как она может помочь пользователям?

Одним из главных преимуществ нейросети Sora является ее интуитивно понятный интерфейс, который делает использование этой технологии доступным для всех пользователей, независимо от уровня опыта в видеообработке. Просто введите текстовый запрос на платформе и наблюдайте, как Sora превращает его в первоклассное сгенерированное видео. Таким образом, даже те, кто не имеет опыта работы с видео, могут легко создавать уникальный контент.

[Нейросеть Sora для генерации видео](https://chatru.net/articles/sora) можно будет купить на русском на сайте ChatRUnet.
How to train model in machine learning
Published: 2024-03-24 09:36:26

Data Collection: Gather relevant data for your problem domain. This data should be properly labeled and representative of the problem you're trying to solve.

Data Preprocessing: Prepare your data for training. This may involve cleaning the data, handling missing values, normalizing or standardizing features, and splitting the data into training, validation, and test sets.

Choose a Model: Select an appropriate machine learning model or algorithm based on the nature of your problem (e.g., classification, regression, clustering) and the characteristics of your data.

Train the Model: Feed the training data into the chosen model and optimize its parameters to minimize the error or loss function. This process involves adjusting the model's parameters iteratively until it performs satisfactorily on the training data.

Evaluate the Model: Assess the performance of the trained model using validation data. This step helps you understand how well your model generalizes to unseen data and whether it suffers from overfitting (performing well on training data but poorly on unseen data).

Hyperparameter Tuning: Fine-tune the model's hyperparameters to improve its performance further. Hyperparameters are settings that are not learned during training and can significantly impact the model's performance.

Final Evaluation: Once you're satisfied with the model's performance on the validation set, evaluate it on the test set to get a final estimation of its performance. This step helps ensure that your model's performance is consistent across different datasets.
Java groupingBy, Mapping, Counting
Tags: java, programming, development
Published: 2024-03-24 09:32:22

In my earlier post, we talked about various methods provided by `java.util.stream.Collectors`.
This post, I am going to talk about few other methods which are very powerful and useful.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4aq3ggwoyq53ceomuo5c.jpg)

Here is my previous post - 
https://dev.to/bsknath/exploring-java-collectors-utilities-10ne
Refo - A website template for the modern web.
Tags: javascript, node, webdev, react
Published: 2024-03-24 09:03:34

---
title: Refo - A website template for the modern web.
published: true
description: Effortless Static Site Generation with Flexibility. Feeling overwhelmed by the static site generator landscape? Refo offers a refreshingly simple and customizable approach built entirely on Node.js. Unlike Jekyll, Gatsby, Astro and others, we let you leverage the power of Node.js modules directly. This means you can generate any kind of website you can imagine, all with the flexibility of your favorite Node.js libraries and servers.
tags: JavaScript, Node, WebDev, React
cover_image: https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ame1npl5p69prm1c3vpf.jpeg
---

{% github kireerik/refo %}
Unlocking Efficiency and Growth: ERP for Trading Companies
Tags: erp, erpfortradingcompanies
Published: 2024-03-24 08:49:00


In the fast-paced world of trading, efficiency is key to staying ahead of the competition. That's where [ERP for trading companies](https://seeroo.com/ae/erp-for-trading-companies/) steps in, revolutionizing the way businesses operate and thrive in today's dynamic markets.

Imagine having all your critical business processes seamlessly integrated into one powerful system. That's the beauty of [ERP for trading companies](https://seeroo.com/ae/erp-for-trading-companies/). From inventory management to sales tracking, financial reporting to supply chain optimization, ERP streamlines operations, empowering trading businesses to operate more efficiently and effectively.

With ERP, manual tasks become automated, reducing human error and increasing productivity. Say goodbye to tedious paperwork and hello to real-time insights at your fingertips. Whether you're managing inventory across multiple locations or tracking shipments in transit, ERP provides visibility and control like never before.

But it's not just about efficiency – ERP also fuels growth. By centralizing data and providing actionable insights, ERP empowers businesses to make informed decisions and capitalize on new opportunities. Whether it's identifying emerging market trends or optimizing pricing strategies, ERP gives trading companies the edge they need to thrive in today's competitive landscape.

In conclusion, ERP is more than just a software solution – it's a secret ingredient for transformation. By streamlining operations, driving efficiency, and fueling growth, ERP empowers trading businesses to reach new heights of success. So why wait? Embrace the power of [ERP for trading companies](https://seeroo.com/ae/erp-for-trading-companies/) and unlock your business's full potential today.
Simple Face Swap Python Script (Free Download Available)
Tags: ai, python, opensource
Published: 2024-03-24 08:35:30

Ever wanted to swap faces in images for fun or to create memes? This Python script makes it easy using OpenCV and dlib libraries. While there are more advanced methods available, like MockoFun’s [online face swap](https://www.mockofun.com/face-swap/) app, this script offers a hands-on approach to understanding face swapping technology.


![Face Swap Online](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3oge2u88jjgxf9axx884.jpg)
_note: this image was made with MockoFun [online face swap](https://www.mockofun.com/face-swap/) app, NOT with the script_

**SCRIPT DOWNLOAD LINK:** [Face Swap Python](https://www.coding-dude.com/wp/ai/face-swap-python/)

Key Features:

1. **Facial Landmark Detection:** Utilizes a pre-trained model to identify key facial features.
1. **Face Alignment & Warping:** Aligns and overlays faces from two images for a seamless swap.
1. **Color Correction:** Adjusts colors to match the target image for a natural look.
1. **Usage:** Provide two image paths as command-line arguments to swap faces. The script is best with frontal, well-lit images4.

## Ethical Considerations 

Use responsibly and respect privacy and consent. You should always ask for the consent of the people whose images you want to use for face swapping or make sure they are used in a context that clearly indicates the nature of the modified images.

## Further Exploration

For those interested in the technicalities, the script’s step-by-step breakdown and the science behind face swapping are detailed on the page. 

For more advanced techniques, I recommend [this article](https://medium.com/@codingdudecom/deepfake-ai-face-swap-e11edc7d67e1). It goes more in-depth explaining how AI face swap and deepswap works, the architecture of the neural networks and the principles for training it.

As for the applications of the face swap script, one cool app is the [Face Swap for Photoshop](https://johana.gumroad.com/l/face-swap-in-photoshop) action available for free on Gumroad.

Drop me a comment if you have any questions or remarks. You can also find me here:

Twitter: [@codingdudecom](https://twitter.com/codingdudecom) 
Github: [https://github.com/codingdudecom/](https://github.com/codingdudecom/)
gRPC Performance Benefits
Tags: grpc, rpc, microservices, backend
Published: 2022-12-11 14:24:11

I am currently learning gRPC and gRPC-Web in the .NET space. I will be posting some theoretical nuggets of info as I go along - hope this is helpful to some :) 

**What is it**

gRPC is a modern open-source framework for microservice-to-microservice communication. It uses the HTTP/2 protocol for efficient transmission of data and uses Protocol Buffers for serializing structured data.

**Tell me something I didn't already know**

One of the main advantages of gRPC is its use of HTTP/2, which allows for efficient transmission of data with support for full-duplex streams, header compression, and multiplexing requests over a single TCP connection. This makes gRPC an ideal choice for high-performant microservice architectures.

**How does this affect what I am already "used to doing"**

In comparison to SOAP and REST, which use XML and JSON respectively, gRPC offers a more efficient and compact binary representation of data. This can result in significant performance improvements, particularly in high-traffic environments.

**Er, but from a consumer (client) perspective - browsers do not support the HTTP/2 protocol...?**

gRPC can be used in the browser by using a gRPC-Web client library, which provides a JavaScript library that can be used in a web application to interact with a gRPC service. This library acts as a proxy, translating between the gRPC-Web protocol and regular gRPC messages. This allows gRPC to be used in the browser, even if the browser does not natively support HTTP/2.

**Bonus**

Another advantage of gRPC is its support for bidirectional streaming, which allows for real-time communication between microservices. This makes it a good fit for event-driven architectures and message brokers.
JavaScript Array Methods: Understanding `forEach`
Tags: webdev, javascript
Published: 2024-03-24 08:26:06


![JS Array method: .forEach()](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/r6evmt96qeyc22ivj5s4.png)

JavaScript provides several methods to work with arrays, one of which is forEach. This method is a modern alternative to the traditional [for loop](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for), offering a more straightforward way to iterate over each item in an array.

### Basic Example

Consider the following array of fruits:

```jsx
const fruits = ['apple', 'mango', 'avocado']
fruits.forEach((fruit, index) => {
  console.log(fruit) // 'apple', 'mango', 'avocado'
  console.log(index) // 0, 1, 2
})
```

In each iteration of `forEach`, a callback function is executed that takes the current item (in this case, the name of a fruit) as its first argument. The callback function can also take a second argument, `index`, which represents the position of the current item in the array. For example, the first fruit ('apple') will have an index value of zero.

This method is particularly useful when you need to iterate over an array of items and perform operations using the data within this array.

### Practical Example

Imagine we have an array `outOfProducts` indicating items that are currently out of stock. We want to update the data in our app to no longer display these items to users until we receive a new supply. We can accomplish this with the `forEach` method by setting the `inStock` property to false for each out-of-stock product in our `products` object.

```jsx
const products = {
  apple: { price: 4, inStock: true },
  avocado: { price: 12, inStock: true },
  mango: { price: 9, inStock: true },
  cucumber: { price: 10, inStock: true },
  tomato: { price: 6, inStock: true },
}

const outOfProducts = ['apple', 'mango', 'avocado']

outOfProducts.forEach((fruit) => {
  products[fruit].inStock = false
})

console.log(products)
/*
Console.log will output updated products object:

{
    apple: { price: 4, inStock: false },
    avocado: { price: 12, inStock: false },
    mango: { price: 9, inStock: false },
    cucumber: { price: 10, inStock: true },
    tomato: { price: 6, inStock: true },
}
*/
```

By using the `forEach` method, we can easily iterate over the `outOfProducts` array and update our `products` object accordingly. This method makes it easier to work with arrays and change data based on what's in those arrays.

[https://bgdnvarlamov.com/blog/array-method-forEach](https://bgdnvarlamov.com/blog/array-method-forEach)
OOP Python 4- Understanding Abstraction in Python
Tags: programming, beginners, tutorial, python
Published: 2024-03-24 08:24:00

Abstraction, a foundational concept in Python, allows developers to create a superclass that carries common features and functions of subclasses without having an object of its own.

**Key Concepts:**
- Common Features: Abstraction enables the creation of a superclass that encapsulates shared attributes and methods of subclasses.
- Template Definition: Methods in the abstract class can serve as templates to be overridden by subclasses.

**Benefits of Abstraction:**
- Simplified Design: Abstract classes provide a blueprint for subclasses, simplifying the overall design.
- Modularity: Encapsulation of common features enhances code modularity and maintainability.

Example: Animal Hierarchy Consider an abstract class "Animal" with an abstract method "make_sound." Subclasses like "Dog" and "Cat" will implement this method according to their specific sound.

```

from abc import ABC, abstractmethod

class Animal(ABC):
    @abstractmethod
    def make_sound(self):
        pass  # Abstract method to be implemented by subclasses

class Dog(Animal):
    def make_sound(self):
        return "Woof!"

class Cat(Animal):
    def make_sound(self):
        return "Meow!"

# Usage
dog_instance = Dog()
cat_instance = Cat()

print(dog_instance.make_sound())  # Output: Woof!
print(cat_instance.make_sound())  # Output: Meow!
```
In this example, abstraction allows the "Animal" superclass to define a common method, "make_sound," which is implemented differently by its subclasses (Dog and Cat). This promotes a clean and modular design in Python.

If you need further information or have specific questions, feel free to ask! Tahsin Soyak tahsinsoyakk@gmail.com
Selamat Datang di UNTUNG33
Published: 2024-03-24 07:57:50

Sambutlah ketegangan dan kesenangan yang tak terduga di [UNTUNG33](https://untung33.online), tempat di mana setiap taruhan adalah sebuah cerita yang menarik. Di sini, kami tidak hanya menawarkan permainan, tetapi pengalaman yang memikat dan mempesona.

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Namun, di balik gemerlapnya lampu dan suara gemuruh, [UNTUNG33](https://untung33.online) adalah tempat di mana keamanan dan keadilan dijunjung tinggi. Kami memastikan bahwa setiap taruhan Anda dilindungi dengan ketat, sehingga Anda bisa fokus pada kesenangan dan keseruan bermain.

Namun, di balik gemerlapnya lampu dan suara gemuruh, [UNTUNG33](https://untung33.online) adalah tempat di mana keamanan dan keadilan dijunjung tinggi. Kami memastikan bahwa setiap taruhan Anda dilindungi dengan ketat, sehingga Anda bisa fokus pada kesenangan dan keseruan bermain.

Jadi, mari bergabung dengan kami di [UNTUNG33](https://untung33.online) dan biarkan kami menjadi mitra Anda dalam menjelajahi dunia judi daring. Bersama, mari kita rayakan kemenangan besar, kegembiraan tak terduga, dan petualangan yang tak terlupakan!
Android Development Resources
Tags: learning, kotlin, androiddev, android
Published: 2024-03-24 07:43:53

I am a developer and I have chosen android development as my primary domain but I am having difficulty in finding the resources to learn application development as there are no such quality and free resources available on YouTube. Please provide me some ways or resources to learn android development. I have already wasted more than 4 months on finding the resources and I still have not found anything helpful that starts the learning from Kotlin and takes the learning path to android development. Please help me....
useEffect()
Published: 2024-03-24 07:32:23



### $$useEffect()$$

```javascript
import { useEffect, useState } from 'react';

export default function ProgressBar(): React.JSX.Element {
    const [time, setTime] = useState(0); // Initializing state for time
    const maxTime: number = 100; // Setting maximum time

    useEffect(() => {
        console.log('SETTING INTERVAL', time); // Log when interval is set up
        const interval = setInterval(() => {
            if (time < maxTime) {
                setTime(prev => prev + 1); // Increment time by 1 if it's less than maxTime
            } else {
                clearInterval(interval); // Clear the interval if time reaches maxTime
            }
        }, 100); // Run the interval every 100 milliseconds

        // Cleanup function for when the component unmounts or the dependency changes
        return () => {
            console.log("end->", time); // Log when the component unmounts or dependency changes
            clearInterval(interval); // Clear the interval to avoid memory leaks
        };
    }, [time]); // Dependency array with 'time', so the effect runs whenever 'time' changes

    return (
        <>
            {/* Render a progress bar with value set to 'time' and maximum value set to 'maxTime' */}
            <progress id='prog' value={time} max={maxTime} />
            {/* Display the percentage value of 'time' */}
            <span>{time}%</span>
        </>
    );
}
```

Explanation:

- `useState(0)` is used to initialize the state variable `time` with an initial value of 0. This state variable will keep track of the progress of the progress bar.
- `const maxTime: number = 100;` sets the maximum value for the progress bar, in this case, 100.
- `useEffect` is a hook that runs side effects in function components. In this case, it sets up an interval to update the progress bar.
- Inside the `useEffect` hook:
  - A `console.log` statement is used to log when the interval is set up.
  - `setInterval` is used to create a loop that increments the `time` state variable every 100 milliseconds until it reaches `maxTime`.
  - If `time` reaches `maxTime`, the interval is cleared using `clearInterval`.
  - The return function is a cleanup function that clears the interval when the component unmounts or when the `time` state variable changes.
- The component returns JSX, rendering a `<progress>` element representing the progress bar. The `value` attribute is set to the current value of `time`, and the `max` attribute is set to `maxTime`.
- A `<span>` element is used to display the percentage value of `time`.
NVIDIA Just Launched FREE Courses in AI 🎓📚
Tags: ai, learning, news, beginners
Published: 2024-03-24 07:30:00

**_NVIDIA_**, the company that is at the _🫀 of the AI revolution_, recently made learning Artificial Intelligence a breeze with its latest courses.

Here are **_five free courses_** that are actually worth their weight in gold(believe me when I say this) and will help you learn more about the topic and improve your skills.

😉 PS: There are a **total of 16 free courses** on their website. I have curated the best ones for beginners.

Click the below link to check out them -

🔗 https://www.nvidia.com/en-us/training/online/#free-courses

![Image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4mwwlbpizhiik94xxdi3.png)

***

## 1️⃣ Generative AI Explained

What you'll learn:

- Generative AI and explain how Generative AI works.
- Various Generative AI applications.
- Challenges and opportunities in Generative AI

🔗 https://courses.nvidia.com/courses/course-v1:DLI+S-FX-07+V1/

![Image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pprfqdydavq9yi1yy7d0.png)

***

## 2️⃣ Building A Brain in 10 Minutes

What you'll learn:

- Exploring how neural networks use data to learn
- Understanding the math and science behind a neuron

🔗 https://courses.nvidia.com/courses/course-v1:DLI+T-FX-01+V1/

![Image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/coyqdfo8s3eg5vkrceu0.png)

***

## 3️⃣ Augment your LLM with Retrieval Augmented Generation:

What you'll learn:

- Basics of Retrieval Augmented Generation
- RAG retrieval process
- NVIDIA AI Foundations and RAG model components

🔗 https://courses.nvidia.com/courses/course-v1:NVIDIA+S-FX-16+v1/

![Image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2zkpy41wp8o16qhhhwhl.png)

***

## 4️⃣ Building RAG Agents with LLMs:

What you'll learn:

- Scalable deployment strategies for LLMs and vector databases.
- Modern LangChain paradigms for dialogue management and document retrieval.
- Using advanced models and steps for production.

🔗 https://courses.nvidia.com/courses/course-v1:DLI+S-FX-15+V1/

![Image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/we5kreo23l6nqaql1res.png)

***

## 5️⃣ Accelerate Data Science Workflows with Zero Code Changes:

What you'll learn:

- Learn the benefits of unified CPU and GPU workflows
- GPU-accelerate data processing and ML without code changes
- Experience faster processing times

🔗 https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/

![Image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/w88gvke958yd77k8g8nm.png)

***

## 🙌 Wrapping Up

In conclusion, NVIDIA has changed AI education by providing 16 free courses.

These handpicked resources, including topics like Generative AI and neural networks, offer invaluable knowledge.

I am personally taking advantage of these courses myself, and I encourage you to do the same.

Okay, that's it for today!

Connect with me @ [Linktree](https://linktr.ee/arjuncodess).

Happy Coding! 🚀
Thanks for 24220! 🤗