π₯ Harvard's popular CS50 series has an intro to Python course taught by David J. Malan himself.
Harvard's popular CS50 course series includes an Introduction to Python course taught by David Jay Malan himself.
The course covers Python fundamentals such as loops and conditions, and writing and using APIs.
Along the way, you'll build an application using frameworks such as Django and React.
Course: https://cs50.harvard.edu/python/2022/
Videos: https://www.youtube.com/watch?v=nLRL_NcnK-4
π https://www.tgoop.com/CodeProgrammer
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Harvard's popular CS50 course series includes an Introduction to Python course taught by David Jay Malan himself.
The course covers Python fundamentals such as loops and conditions, and writing and using APIs.
Along the way, you'll build an application using frameworks such as Django and React.
Course: https://cs50.harvard.edu/python/2022/
Videos: https://www.youtube.com/watch?v=nLRL_NcnK-4
π https://www.tgoop.com/CodeProgrammer
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π20β€1
CS25: Transformers United V3
New lectures on the course on Transformers from Stanford! Stanford CS 25 " Transformers United " featured celebrity guests such as Andriy Karpaty, Noam Brown, Lukas Beyer and Geoff Hinton himself!
A new report has been released on the creation and recipes for creating universal AI agents in open worlds:
π’ MineDojo : an open framework and multimodal database for training Minecraft agents.
π’ Voyager : agent for lifelong learning in Minecraft based on LLM.
π’ Eureka: GPT-4 develops reward functions to teach a robot hand to turn a knob.
π’ VIMA : one of the earliest multimodal LLMs.
π’A look into the future: promising areas of research.
βοΈ Slides : https://drive.google.com/file/d/1lWIhijUaTZkkWOC_YwZHMoI0h7EAWVPL/view
π Lectures : https://web.stanford.edu/class/cs25
π https://www.tgoop.com/CodeProgrammer
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New lectures on the course on Transformers from Stanford! Stanford CS 25 " Transformers United " featured celebrity guests such as Andriy Karpaty, Noam Brown, Lukas Beyer and Geoff Hinton himself!
A new report has been released on the creation and recipes for creating universal AI agents in open worlds:
π’ MineDojo : an open framework and multimodal database for training Minecraft agents.
π’ Voyager : agent for lifelong learning in Minecraft based on LLM.
π’ Eureka: GPT-4 develops reward functions to teach a robot hand to turn a knob.
π’ VIMA : one of the earliest multimodal LLMs.
π’A look into the future: promising areas of research.
βοΈ Slides : https://drive.google.com/file/d/1lWIhijUaTZkkWOC_YwZHMoI0h7EAWVPL/view
π Lectures : https://web.stanford.edu/class/cs25
π https://www.tgoop.com/CodeProgrammer
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π Convert CSV to JSON
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Convert Video to Audio using Python
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π₯ Crash Course on Python (From google)
Enroll Link: https://clcoding.com/2023/10/crash-course-on-python-from-google.html
Enroll Link: https://clcoding.com/2023/10/crash-course-on-python-from-google.html
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π΄π’ Directly participate in the investment in the "Mobil" oil project:
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B. Investment project amount: 10USDT-1000000USDT
C. Income dividend method: Daily income, the system automatically distributes dividend income every day.
π΅Invite investors to receive the 2USDT gift immediately during the event, and the gift will arrive in your account within 3 minutes! π΅
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Introducing LazyPredict! π
A Python library that enables you to train, test, and evaluate multiple ML models at once using just a few lines of code.
Install:
π₯ Github: https://github.com/shankarpandala/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
π₯ Github: https://github.com/shankarpandala/lazypredict
π https://www.tgoop.com/CodeProgrammer
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π Awesome Computer Vision
Awesome Books, Courses, Papers, Software, Datasets, Pre-trained Computer Vision Models, Tutorials, Talks, Blogs, Links and Songs related to Computer Vision.
π GitHub: https://github.com/jbhuang0604/awesome-computer-vision
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Awesome Books, Courses, Papers, Software, Datasets, Pre-trained Computer Vision Models, Tutorials, Talks, Blogs, Links and Songs related to Computer Vision.
π GitHub: https://github.com/jbhuang0604/awesome-computer-vision
π https://www.tgoop.com/CodeProgrammer
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π Pytorch
This repository has a collection of best tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.
π GitHub: https://github.com/ritchieng/the-incredible-pytorch
π https://www.tgoop.com/CodeProgrammer
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This repository has a collection of best tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.
π GitHub: https://github.com/ritchieng/the-incredible-pytorch
π https://www.tgoop.com/CodeProgrammer
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π₯ Python code to find info about Chemical Formula
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π AI Expert Roadmap
This ultimate repository for AI contains roadmaps for:
πΉ Artificial Intelligence
πΉ Machine Learning
πΉ Deep Learning
πΉ Data Engineer
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Link: https://github.com/AMAI-GmbH/AI-Expert-Roadmap
π https://www.tgoop.com/CodeProgrammer
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This ultimate repository for AI contains roadmaps for:
πΉ Artificial Intelligence
πΉ Machine Learning
πΉ Deep Learning
πΉ Data Engineer
πΉ Big Data
πΉ Data Science
Link: https://github.com/AMAI-GmbH/AI-Expert-Roadmap
π https://www.tgoop.com/CodeProgrammer
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π₯ Awesome Python Awesome
A curated list of awesome Python frameworks, libraries, software and resources.
https://github.com/vinta/awesome-python
π https://www.tgoop.com/CodeProgrammer
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A curated list of awesome Python frameworks, libraries, software and resources.
https://github.com/vinta/awesome-python
π https://www.tgoop.com/CodeProgrammer
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365 data science courses
π’ probability
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π’ git and github
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Price: 20$
Contact me @hussein_sheikho
π’ probability
π’ statistics
π’ git and github
π’ machine learning
π’ SQL
π’ python
π’ deep learning
π’ PowerBI
π’ excel
This courses now available for us
Price: 20$
Contact me @hussein_sheikho
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π₯ Face swap on python.
π @CodeProgrammer
pip install --user opencv-python insightface matplotlib
# ΡΠΊΠ°ΡΠ°ΠΉ 'inswapper_128.onnx' ΠΎΡΡΡΠ΄Π° 'clck.ru/36ct6v' ΠΈ Π·Π°ΠΊΠΈΠ½Ρ Π² ΠΏΠ°ΠΏΠΊΡ Ρ ΠΊΠΎΠ΄ΠΎΠΌ
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('Π’Π£Π’ Π’ΠΠΠ ΠΠΠΠΠ ΠΠΠΠΠΠ')
π₯ Video: https://www.youtube.com/shorts/78CFNgTTX54π @CodeProgrammer
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π΄Machine Learning A-Zβ’: AI, Python & R + ChatGPT Bonus [2023] π΄
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
π’ Price :- $20
Source :- https://www.udemy.com/course/machinelearning/
Contact @hussein_sheikho
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
π’ Price :- $20
Source :- https://www.udemy.com/course/machinelearning/
Contact @hussein_sheikho
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