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SkalskiP/courses

Fork: 399 Star: 4433 (更新于 2024-04-12 18:41:57)

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Language: Python .

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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crème de la crème of AI courses

English | Hindi | Italiano | French | Indonesian

👋 hello

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI). Whether you're a beginner or an experienced learner, there's something here for everyone!

👀 looking for ideas

I am looking for a good free course on statistics, linear algebra, integrals and derivatives that could be a good mathematical training for people who want to start a career in ML. I look forward to hearing your ideas!

🧑‍🎓courses & resources

topic format difficulty release year price course
Generative AI GitHub repository 🟩⬜⬜ 2023 free Generative AI for Beginners by Microsoft
Deep Learning YouTube playlist 🟩🟩⬜ 2023 free 6.5940 TinyML and Efficient Deep Learning Computing by Massachusetts Institute of Technology
Natural Language Processing YouTube playlist 🟩🟩⬜ 2023 free Natural Language Processing by The University of Texas at Austin
Deep Learning website 🟩⬜⬜ 2023 free Deep Learning Fundamentals - Learning Deep Learning Using a Modern Open-Source Stack by Sebastian Raschka
Large Language Models YouTube playlist 🟩🟩⬜ 2023 free LLM Bootcamp - Spring 2023 by The Full Stack
Python YouTube playlist 🟩⬜⬜ 2023 free CS50: Introduction to Programming with Python by Harvard University x freeCodeCamp.org
Stable Diffusion and Deep Learning website 🟩🟩⬜ 2023 free Practical Deep Learning for Coders part 2: Deep Learning Foundations to Stable Diffusion by fast.ai
Deep Learning YouTube playlist 🟩⬜⬜ 2023 free 6.S191: Introduction to Deep Learning by Massachusetts Institute of Technology
Deep Learning YouTube playlist 🟩⬜⬜ 2023 free Neural Networks: Zero to Hero by Andrej Karpathy
Large Language Models and Prompt Engineering website 🟩⬜⬜ 2023 free Prompt Engineering Guide by DAIR.AI
Computer Vision YouTube playlist 🟩⬜⬜ 2023 free Computer Vision in Practice by Piotr Skalski x Roboflow
Natural Language Processing YouTube playlist 🟩🟩⬜ 2023 free CS685: Advanced Natural Language Processing by University of Massachusetts
Machine Learning YouTube playlist 🟩🟩⬜ 2022 free CS229: Machine Learning by Stanford University
MLOps YouTube playlist 🟩🟩⬜ 2022 free Machine Learning Engineering for Production by Andrew Y. Ng
Multimodal Machine Learning YouTube playlist 🟩🟩🟩 2022 free 11-777: Multimodal Machine Learning by Carnegie Mellon University
Deep Multi-Task and Meta Learning YouTube playlist 🟩🟩🟩 2022 free CS330 Deep Multi-Task and Meta Learning by Stanford University
Deep Learning YouTube playlist 🟩⬜⬜ 2022 free Practical Deep Learning for Coders by fast.ai
Natural Language Processing YouTube playlist 🟩🟩⬜ 2021 free CS224U: Natural Language Understanding by Stanford University
Transformers YouTube playlist 🟩🟩🟩 2021 free CS25: Transformers United by Stanford University
Deep Learning YouTube playlist 🟩🟩⬜ 2021 free NYU-DLSP21: NYU Deep Learning Spring by New York University
Natural Language Processing and Transformers website 🟩⬜⬜ 2021 free NLP Course by Hugging Face
Deep Learning book 🟩⬜⬜ 2021 free Dive into Deep Learning by d2l.ai
Reinforcement Learning YouTube playlist 🟩🟩🟩 2021 free Reinforcement Learning Course by DeepMind x University College London
Natural Language Processing YouTube playlist 🟩🟩⬜ 2021 free CS224N: Natural Language Processing with Deep Learning by Stanford University
Deep Learning YouTube playlist 🟩🟩⬜ 2020 free Deep Learning Lecture Series by DeepMind x University College London
Linear Algebra website 🟩🟩🟩 2019 free Advanced Linear Algebra - Foundations to Frontiers by Margaret E. Myers & Robert A. van de Geijn
Artificial Intelligence Youtube playlist 🟩🟩⬜ 2019 free Stanford CS221: Artificial Intelligence: Principles and Techniques by Stanford University
Computer Vision Youtube playlist 🟩🟩⬜ 2019 free University of Michigan EECS 498.008 / 598.008: Deep Learning for Computer Vision by University of Michigan
Computer Vision YouTube playlist 🟩🟩⬜ 2018 free CS231n: Deep Learning for Computer Vision by Stanford University
Statistics and Probability YouTube playlist 🟩⬜⬜ 2013 free Statistics 110: Probability by Harvard University

🦸 contribution

We would love your help in making this repository even better! If you know of an amazing AI course that isn't listed here, or if you have any suggestions for improvement, feel free to open an issue or submit a pull request. If you feel up to the task, please take a peek at our contribution guide.

Together, let's make this the best AI learning hub on GitHub! 🚀

最近版本更新:(数据更新于 2024-04-07 22:27:49)

主题(topics):

computer-vision, deep-learning, deep-neural-networks, generative-model, machine-learning, mlops, multimodal, natural-language-processing, nlp, stable-diffusion, transformers, tutorial

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