-
pip install numpyro
NumPyro is a lightweight probabilistic programming library that adds NumPy capabilities to the Pyro library.
The probabilistic programming process with NumPyro also uses JAX for automatic differentiation and JIT compilation on the GPU/CPU.
http://t.me/codeprogrammer
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β‘οΈ NOW! Only today-tomorrow I am looking for 10 people for the experiment!
By the end of the month I will try to bring them to a good income. No cheating!
πΈI bet a large sum of money that by the end of the month will make 10 unknown people teach to make money on trading. I will not take money. I will not sell anything.
I just sincerely want to help you become more successful and win your bet!
If you want to take part - write me in DM!
πCLICK HEREπ
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By the end of the month I will try to bring them to a good income. No cheating!
πΈI bet a large sum of money that by the end of the month will make 10 unknown people teach to make money on trading. I will not take money. I will not sell anything.
I just sincerely want to help you become more successful and win your bet!
If you want to take part - write me in DM!
πCLICK HEREπ
πCLICK HEREπ
πCLICK HEREπ
Nothing complicated, you just need the Stegano library:
# pip install stegano
from stegano import lsb
secret = lsb.hide('image.png', 'very secret text')
secret.save('secret_image.png')
print(lsb.reveal('secret_image.png'))
A quick question: how is this ability to store text in a picture implemented?
How easy is it to detect such text hiding?
http://t.me/codeprogrammer
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Initialization can have a significant impact on convergence in training deep neural networks.
Read our guide to learn how to initialize neural network parameters effectively:
https://www.deeplearning.ai/ai-notes/initialization/index.html
http://t.me/codeprogrammerβ€οΈ
Read our guide to learn how to initialize neural network parameters effectively:
https://www.deeplearning.ai/ai-notes/initialization/index.html
http://t.me/codeprogrammer
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Football Analysis in Python with Yolov8 & OpenCV
Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7
Deep learning web application for football analysis with Streamlit.
Used material links:
Project repo: https://github.com/Hmzbo/Football-Analytics-with-Deep-Learning-and-Computer-Vision
Custom dataset tips: https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/
Annotation tools:
labelme: https://github.com/wkentaro/labelme
cvat: https://github.com/opencv/cvat
http://t.me/codeprogrammerπ¬
Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7
Deep learning web application for football analysis with Streamlit.
Used material links:
Project repo: https://github.com/Hmzbo/Football-Analytics-with-Deep-Learning-and-Computer-Vision
Custom dataset tips: https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/
Annotation tools:
labelme: https://github.com/wkentaro/labelme
cvat: https://github.com/opencv/cvat
http://t.me/codeprogrammer
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The LLM Scientist Roadmap
Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models.
#LLM #DataScience #Roadmap
http://t.me/codeprogrammerβ
Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models.
#LLM #DataScience #Roadmap
http://t.me/codeprogrammer
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Support Vector Machine Notes ποΈ .pdf
8.6 MB
Support Vector Machine Notes
#SVM #machineLearning #AI #python
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π Support us:
π₯ BTC:
π² USDT TRC20:
π¬ TON:
π¦ PAYPAL:
https://www.paypal.me/HusseinSheikho
#SVM #machineLearning #AI #python
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bc1qgjmr3ffh48jw5vw2tqad9useumutt5tql0pa6w
TMzAr8AFcZ1n5RXZa3BHPXHBRqugx9Skr7
UQAVMaOmfh8vsaXTykpBX45A3tsYv4Guo09eMw
1Tl_uSYFcqhttps://www.paypal.me/HusseinSheikho
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Three good training sets to start working in the field of data science:
- Machine Learning for Beginners
- Data Science for Beginners
- Artificial Intelligence for Beginners
βοΈ Coursera Membership Free
http://t.me/codeprogrammerβοΈ
- Machine Learning for Beginners
- Data Science for Beginners
- Artificial Intelligence for Beginners
http://t.me/codeprogrammer
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π¨π»βπ» If you want to enter the data world, learning Python as the most important language in this field is essential! But there are many things to learn in Python: from Python basics to data analysis, machine learning and coding with Python. So how can you find the best resources to learn all of this?
http://t.me/codeprogrammer
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π¨π»βπ» If you are preparing for a data science job interview and are looking for questions in the SQL field, this list of SQL questions collected from large and famous companies can help you.
π BEST DATA SCIENCE CHANNELS ON TELEGRAM π
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π¨π»βπ» Our project is designed to predict the winner of the 2024 Olympics and use historical data to train a machine learning model.
β
β
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http://t.me/codeprogrammer
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Forwarded from π³
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2mil+ people trust us, 200ΠΊ+ native users on @whalesocials, and the community is only growing!
Share your thoughts and feedback of @Whale on Ton.app and Trustpilot. You make us better
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In case you missed it, we just launched "Pretraining LLMs!"
In this course, youβll gain in-depth knowledge of the steps to pretrain an LLM, encompassing all the steps, from data preparation to performance assessment.
Enroll for free today: https://www.deeplearning.ai/short-courses/pretraining-llms/
http://t.me/codeprogrammerβοΈ
βοΈ Coursera Membership Free
In this course, youβll gain in-depth knowledge of the steps to pretrain an LLM, encompassing all the steps, from data preparation to performance assessment.
Enroll for free today: https://www.deeplearning.ai/short-courses/pretraining-llms/
http://t.me/codeprogrammer
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π¨π»βπ» 365DataScience website has created free and unlimited access to data science courses for 72 hours from November 19 , without any restrictions and without the need for a credit card!
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π’ Zuckerberg Releases Free ChatGPT Competitor: Llama 3.1!
Mark Zuckerberg just launched Llama 3.1, a next-gen AI model with the largest dataset ever. Available in 8B, 70B, and 405B versions, it boasts a 128k token context size.
Key Highlights:
β’ Performance: Outperforms GPT-4o and Claude 3.5 in general knowledge, math, and translation.
β’ Accessibility: Downloadable by anyone, bringing advanced AI within reach.
β’ Strategic Move: Meta applies pressure on OpenAI with this open-source release. You probably now understand why OpenAI showed GPT-4o mini a week ago and made it so cheap - soon we will have very smart models that run very fast on any hardware.
Try It Now:
β’ on Hugging Face: Llama 3.1 on Hugging Face
β’ on NVIDIA's website: NVIDIAβs website
This release represents a major development in open-source AI, potentially allowing broader access to advanced language models.
https://t.me/DataScienceTβ
Mark Zuckerberg just launched Llama 3.1, a next-gen AI model with the largest dataset ever. Available in 8B, 70B, and 405B versions, it boasts a 128k token context size.
Key Highlights:
β’ Performance: Outperforms GPT-4o and Claude 3.5 in general knowledge, math, and translation.
β’ Accessibility: Downloadable by anyone, bringing advanced AI within reach.
β’ Strategic Move: Meta applies pressure on OpenAI with this open-source release. You probably now understand why OpenAI showed GPT-4o mini a week ago and made it so cheap - soon we will have very smart models that run very fast on any hardware.
Try It Now:
β’ on Hugging Face: Llama 3.1 on Hugging Face
β’ on NVIDIA's website: NVIDIAβs website
This release represents a major development in open-source AI, potentially allowing broader access to advanced language models.
https://t.me/DataScienceT
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I want to recommend a statistics service for your site (counter with advanced functionality).
I'll tell you: first I launched the site, then I set a goal to find a service to collect statistics. For example, Google Analytics slows down the loading of the site that negatively affects the optimization of PageSpeed and internal SEO. Well, other major services leak user data for Google.
In short, I tried a lot of options and settled on one, CheckStat.
What advantages I found in CheckStat:
- Quick integration, it took only a few minutes to set up.
- Real-time data, you can see the activity of visitors online.
- I contacted the support team, they responded in just a few minutes.
- Unlimited and confidential data storage.
π Service functionality:
Detailed real-time statistics on all key metrics.
Tracking, filtering and sorting data for any period of time by any parameters:
Countries
Regions
Cities
Browsers
Operating systems
Source
URL
Resolutions
Languages
User agents
Device types
π‘ What else did you like?
- Lightweight code that doesn't affect the loading speed of the site.
- Privacy and security, namely full compliance with GDPR, PECR and CCPA as mentioned earlierβ.
π I recommend you to try it today!
Link: checkstat.net
I'll tell you: first I launched the site, then I set a goal to find a service to collect statistics. For example, Google Analytics slows down the loading of the site that negatively affects the optimization of PageSpeed and internal SEO. Well, other major services leak user data for Google.
In short, I tried a lot of options and settled on one, CheckStat.
What advantages I found in CheckStat:
- Quick integration, it took only a few minutes to set up.
- Real-time data, you can see the activity of visitors online.
- I contacted the support team, they responded in just a few minutes.
- Unlimited and confidential data storage.
π Service functionality:
Detailed real-time statistics on all key metrics.
Tracking, filtering and sorting data for any period of time by any parameters:
Countries
Regions
Cities
Browsers
Operating systems
Source
URL
Resolutions
Languages
User agents
Device types
π‘ What else did you like?
- Lightweight code that doesn't affect the loading speed of the site.
- Privacy and security, namely full compliance with GDPR, PECR and CCPA as mentioned earlierβ.
π I recommend you to try it today!
Link: checkstat.net