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集合主题趋势排行榜
#

icml-2019

Website
Wikipedia
https://static.github-zh.com/github_avatars/adobe?size=40
adobe / antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

convolutional-neural-networksicml-2019icmlshift-invariantshift-equivariantantialiasingcnns人工智能机器视觉
Python 1.68 k
1 年前
https://static.github-zh.com/github_avatars/princeton-vl?size=40
princeton-vl / CoqGym

#计算机科学#A Learning Environment for Theorem Proving with the Coq proof assistant

theorem-proving机器学习icml-2019
Coq 408
2 年前
https://static.github-zh.com/github_avatars/richzhang?size=40
richzhang / antialiased-cnns

#计算机科学#Repository has been moved: https://github.com/adobe/antialiased-cnns

convolutional-neural-networksconvolutional-networksshift-invariantshift-equivarianticml-2019深度学习
165
4 年前
https://static.github-zh.com/github_avatars/mfbalin?size=40
mfbalin / Concrete-Autoencoders

#计算机科学#

机器学习unsupervised-learningfeature-selectionicml-2019icmlsupervised-learning
Jupyter Notebook 118
3 年前
https://static.github-zh.com/github_avatars/kdexd?size=40
kdexd / probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

icmlicml-2019probabilistic-modelsvqa
Python 66
2 年前
https://static.github-zh.com/github_avatars/YyzHarry?size=40
YyzHarry / ME-Net

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

adversarial-attacksadversarial-examplerobustnessdefenseml-safetyicmlicml-2019
Python 54
2 个月前
https://static.github-zh.com/github_avatars/IBM?size=40
IBM / online-alt-min

#计算机科学#Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedings.mlr.press/v97/choromanska19a.html

深度学习icml-2019PyTorch
Python 24
6 年前
https://static.github-zh.com/github_avatars/rctzeng?size=40
rctzeng / ICML19-EgoCNN

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

graph-embeddingsconvolutional-neural-networksgraph-networksicml-2019icmlgraph-neural-networksinterpretability
Python 20
4 年前
https://static.github-zh.com/github_avatars/praneethmurthy?size=40
praneethmurthy / low-rank-phase-retrieval

MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.

inverse-problemsicml-2019
MATLAB 15
6 年前
https://static.github-zh.com/github_avatars/nvedant07?size=40
nvedant07 / effort_reward_fairness

#计算机科学#Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"

icml-2019interpretable-machine-learningfairness-mlexplainable-ml机器学习人工智能icml
Python 5
6 年前