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:

🟢 MineDojo : an open framework and multimodal database for training Minecraft agents.

🟢 Voyager : agent for lifelong learning in Minecraft based on LLM.

🟢 Eureka: GPT-4 develops reward functions to teach a robot hand to turn a knob.

🟢 VIMA : one of the earliest multimodal LLMs.

🟢A look into the future: promising areas of research.

☑️ Slides : https://drive.google.com/file/d/1lWIhijUaTZkkWOC_YwZHMoI0h7EAWVPL/view

📑 Lectures : https://web.stanford.edu/class/cs25

👌 https://t.me/CodeProgrammer

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We launched a donation campaign for our channels, contribute if you can

PayPal: https://www.paypal.me/HusseinSheikho

Or MasterCard:
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📌 Convert CSV to JSON

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🔅 Convert Video to Audio using Python

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🖥 Crash Course on Python (From google)

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

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Deep Learning and machine learning

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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

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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

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🖥 Python code to find info about Chemical Formula

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👉 AI Expert Roadmap

This ultimate repository for AI contains roadmaps for:

🔹 Artificial Intelligence
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🔹 Deep Learning
🔹 Data Engineer
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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

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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

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🔅 Create an Audiobook in Python

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