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💭
Currently doing research
💭
Currently doing research
  • University of Johannesburg
  • Johannesburg
  • 21:51 (UTC +02:00)

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cdzuwa/README.md

Chris here. Simply put, I speak Maths and do research in Machine learning. Check out my curated reading list for ML here. I highly recommend it for anyone serious about deepening their understanding of ML.

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  1. Machine-Learning-Knowledge-Vault Machine-Learning-Knowledge-Vault Public

    This repo contains a list of core ML reference and learning materials

    1

  2. AaltoDictionaryofML.github.io AaltoDictionaryofML.github.io Public

    Forked from AaltoDictionaryofML/AaltoDictionaryofML.github.io

    Welcome! 👋 This is the working draft of the Aalto Dictionary of Machine Learning (ADictML) — a growing collection of short, clear definitions for key terms in machine learning.

    TeX

  3. bayesian-machine-learning bayesian-machine-learning Public

    Forked from krasserm/bayesian-machine-learning

    Notebooks about Bayesian methods for machine learning

    Jupyter Notebook

  4. Bayesian-Neural-Networks Bayesian-Neural-Networks Public

    Forked from JavierAntoran/Bayesian-Neural-Networks

    Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

    Jupyter Notebook

  5. BPINNs BPINNs Public

    Forked from giuliamesc/BPINNs

    Python

  6. Kalman-and-Bayesian-Filters-in-Python Kalman-and-Bayesian-Filters-in-Python Public

    Forked from rlabbe/Kalman-and-Bayesian-Filters-in-Python

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

    Jupyter Notebook