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  1. machine-learning-notes machine-learning-notes Public

    Forked from roboticcam/machine-learning-notes

    My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接

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  2. what-if what-if Public

    Forked from CausalAI/what-if

    教材 Causal Inference: What if 的编译和解读!

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  3. Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Public

    Forked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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  4. rethinking-pyro rethinking-pyro Public

    Forked from Causal-Inference-ZeroToAll/rethinking-pyro

    Statistical Rethinking with PyTorch and Pyro

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  5. rethinking rethinking Public

    Forked from rmcelreath/rethinking

    Statistical Rethinking course and book package

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  6. causal_inference_python_code causal_inference_python_code Public

    Forked from jrfiedler/causal_inference_python_code

    Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

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