🖥 Crash Course on Python (From google)

Enroll Link: https://clcoding.com/2023/10/crash-course-on-python-from-google.html

👌 https://t.me/CodeProgrammer

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Deep Learning and machine learning

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@Machine_learn

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Introducing LazyPredict! 🚀

A Python library that enables you to train, test, and evaluate multiple ML models at once using just a few lines of code.

Install:
pip install lazypredict

🖥 Github: https://github.com/shankarpandala/lazypredict

👌 https://t.me/CodeProgrammer

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👉 Awesome Computer Vision

Awesome Books, Courses, Papers, Software, Datasets, Pre-trained Computer Vision Models, Tutorials, Talks, Blogs, Links and Songs related to Computer Vision.

🔗 GitHub: https://github.com/jbhuang0604/awesome-computer-vision

👌 https://t.me/CodeProgrammer

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👉 Pytorch

This repository has a collection of best tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.

🔗 GitHub: https://github.com/ritchieng/the-incredible-pytorch

👌 https://t.me/CodeProgrammer

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🖥 Python code to find info about Chemical Formula

👌 https://t.me/CodeProgrammer

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👉 AI Expert Roadmap

This ultimate repository for AI contains roadmaps for:

🔹 Artificial Intelligence
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Link: https://github.com/AMAI-GmbH/AI-Expert-Roadmap

👌 https://t.me/CodeProgrammer

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Soon

Our new channel - Datasets repositories

https://t.me/datasets1

🖥 Awesome Python Awesome

A curated list of awesome Python frameworks, libraries, software and resources.

https://github.com/vinta/awesome-python

👌 https://t.me/CodeProgrammer

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365 data science courses

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🖥 Face swap on python.

pip install --user opencv-python insightface matplotlib
# скачай 'inswapper_128.onnx' отсюда 'clck.ru/36ct6v' и закинь в папку с кодом
import cv2
import insightface
from insightface.app import FaceAnalysis
import matplotlib.pyplot as plt

app = FaceAnalysis(name='buffalo_l')
app.prepare(ctx_id=0, det_size=(640, 640))
swapper = insightface.model_zoo.get_model('inswapper_128.onnx')

def swap_faces(img):
img = cv2.imread(img)
fig, ax = plt.subplots(1, 1, figsize=(10, 5))
ax.imshow(img[:,:,::-1])
ax.axis('off'); plt.show()
faces = app.get(img)
face1, face2 = faces[0], faces[1]
imgnew = img.copy()
imgnew = swapper.get(imgnew, face1, face2, paste_back=True)
imgnew = swapper.get(imgnew, face2, face1, paste_back=True)
fig, ax = plt.subplots(1, 1, figsize=(10, 5))
ax.imshow(imgnew[:,:,::-1])
ax.axis('off'); plt.show()
return imgnew


swap_faces('ТУТ ТВОЁ ИЗОБРАЖЕНИЕ')



🎥 Video: https://www.youtube.com/shorts/78CFNgTTX54

👌 @CodeProgrammer

🌴Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023] 🌴

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

This course includes:
42 hours on-demand video
5 coding exercises
39 articles
9 downloadable resources

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Source :- https://www.udemy.com/course/machinelearning/

Contact @hussein_sheikho

❤️‍🔥Hacking the WIFI password❤️‍🔥

✅ By: https://t.me/Python53

🔅 Create an Audiobook in Python

👌 https://t.me/CodeProgrammer

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import PyPDF2
import pyttsx3
# Read the pdf by specifying the path in your computer 
pdfReader = PyPDF2.PdfFileReader(open('clcoding.pdf', 'rb'))
# Get the handle to speaker
speaker = pyttsx3.init()
# split the pages and read one by one
for page_num in range(pdfReader.numPages): 
    text = pdfReader.getPage(page_num).extractText() 
    speaker.say(text)
    speaker.runAndWait()
# stop the speaker after completion 
speaker.stop() 
# save the audiobook at specified path 
engine.save_to_file(text, 'E:\audio.mp3') 
engine.runAndWait()

👌 https://t.me/CodeProgrammer

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Get and download all Udemy courses and other courses for only $10

Create an account on Patreon
patreon.com/DataScienceBooks

👌 https://t.me/CodeProgrammer

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🔥 flowty-realtime-lcm-canvas

A realtime sketch to image demo using LCM and the gradio library.

Source: https://github.com/flowtyone/flowty-realtime-lcm-canvas

👌 https://t.me/CodeProgrammer

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Artificial Intelligence && Deep Learning
Channel for who have a passion for -

* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

https://t.me/DeepLearning_ai

https://t.me/MachineLearning_Programming