Machine_learning

Deep Learning and Reinforcement Learning 学习资料
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List of Computer Science courses with video lectures.
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🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ray29,596803632 months ago95December 04, 20233,528apache-2.0Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ml Agents15,70712174 months ago46October 09, 202348otherC#
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Tensor2tensor13,70182810 months ago79June 17, 2020589apache-2.0Python
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Deep Learning Drizzle10,767
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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