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.
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Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models.
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http://t.me/codeprogrammer
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Support Vector Machine Notes ποΈ .pdf
8.6 MB
Support Vector Machine Notes
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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?
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In case you missed it, we just launched "Pretraining LLMs!"
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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.
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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).
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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.
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Link: checkstat.net
A powerful 1,108-page book that details the implementation of ML and Deep Learning algorithms using PyTorch, NumPy/MXNet, JAX, and TensorFlow.
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Public APIs
A collective list of API free
GitHub Repo:
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A collective list of API free
GitHub Repo:
https://github.com/public-apis/public-apis
http://t.me/codeprogrammer
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