ZijieHuang

ZijieHuang's Stars

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k3.2k

• nsoojin/coursera-ml-py

  Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

  Language:Python1.4k477

• chihkuanyeh/saliency_evaluation

  Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for evaluating any saliency explanations.

  Language:Python257

• huanzhang12/CLEVER

  CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks

  Language:Python6120

• montvieux/plark_ai_public

  Montvieux has developed “The hunting of the PLARK” Artificial Intelligence (AI) testbed to support a Hackathon activity at the Alan Turing Institute (ATI). The testbed is very flexible and will support both short term exercises in the Hackathon and provide a basis for more extensive, long-term, and cutting edge research. The test bed can be used as a basis to research the limits of agent generalisation, co-operation, and deception in a defence environment.

  Language:Python1811

• hill-a/stable-baselines

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python4.2k725

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k1.8k

• dylan-slack/Fooling-LIME-SHAP

  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

  Language:Jupyter Notebook8116

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k3.3k