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If you fully understand this article, you will understand inference better than 90% of people. And by the way, this is just the first material in the AI Performance Engineering repository. It's scary to think how much knowledge is contained in the rest. https://github.com/wafer-ai/gpu-perf-engineering-resources
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This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide." It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning. https://github.com/Nicolepcx/transformers-the-definitive-guide https://t.me/MachineLearning9 π€©
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From machine learning and data visualization to time series and financial data. This repository contains 920 open-source Python projects, categorized into 34 groups. It's a great collection if you want to quickly find reliable libraries and tools for machine learning, data analysis, and related tasks, rather than searching everything manually on GitHub. https://github.com/lukasmasuch/best-of-ml-python
