The simplest, most straightforward way to learn ML for free. – loganthorneloe/ml-roadmap…

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries. – ageron/handson-mlp…

Datasets without the agonizing pain. Contribute to rdilip/picomap development by creating an account on GitHub.

Digital Twins are great, but they have some real pain points : cost of scanning cost of modelling massive data I believe Machine Learning will be used to solve those practical issues. New ML algori…

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular… – Selection from Building Machine Learning Systems with a Feature Store …

Machine learning on FPGAs using HLS. Contribute to fastmachinelearning/hls4ml development by creating an account on GitHub.

Open ABI and FFI for Machine Learning Systems. Contribute to apache/tvm-ffi development by creating an account on GitHub.

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PickleBall protects users from dangerous pickle-based ML models – columbia/pickleball…