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Official repository for Professor Hung-yi Lee's Machine Learning course in Spring 2022.
Python tutorial with a hands-on project for building an AI application
A collection of machine learning lessons and teaching projects designed for engineers.
A fast C++ library for high-performance matrix and vector operations.
YoloV3 object detection implemented in TensorFlow 2.0
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.
Google Cloud Platform's Advanced Solutions Lab: ML Immersion provides AI-powered machine learning notebooks.
A Rust library for advanced fuzzing, providing a scalable and flexible framework for building custom fuzzers.
An educational repository providing machine learning tutorials and experiments for developers.
A local development environment for running OpenShift 3.x on your machine.
A dotfile manager that helps developers keep their home directory organized and portable across machines.
An educational software system for learning about compilers, emulators, and hypervisors using RISC-V.
An open-source deep learning framework for building, training, and fine-tuning models using physics-ML methods.
A library of scikit-learn compatible categorical variable encoders for machine learning applications.
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
A project to control a Gaggia Classic espresso machine using microcontrollers
A repository containing machine learning codes in finance, from theory to practice.
This repository provides Python implementations of exercises from the book 'An Introduction to Statistical Learning'.
PyTorch implementation of SimCLR, a simple framework for contrastive learning of visual representations.
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