Pinned Repositories
a_bite_on_tf
adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
cfl
Repository for continual federated learning
decentralized-ai.net
Materials regarding decentralized AI.
DPP
Materials related to Determinantal Point Processes (DPP), possibly more and more deep DPPs
non-monotone-dr-submodular
Continuous DR-submodular Maximization: Structure and Algorithms
non-submodular-max
Source code for the paper "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" in ICML 2017
optimal-dr-submodular-max
Source code for ICML paper "Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference"
ParallelCDN
Parallelized Coordinate Descent Newton Method for Efficient L1-Regularized Minimization.
bianan's Repositories
bianan/non-submodular-max
Source code for the paper "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" in ICML 2017
bianan/decentralized-ai.net
Materials regarding decentralized AI.
bianan/non-monotone-dr-submodular
Continuous DR-submodular Maximization: Structure and Algorithms
bianan/cfl
Repository for continual federated learning
bianan/optimal-dr-submodular-max
Source code for ICML paper "Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference"
bianan/ParallelCDN
Parallelized Coordinate Descent Newton Method for Efficient L1-Regularized Minimization.
bianan/a_bite_on_tf
bianan/DPP
Materials related to Determinantal Point Processes (DPP), possibly more and more deep DPPs
bianan/adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
bianan/bigchaindb
BigchainDB is a scalable blockchain database
bianan/bitcoin
Bitcoin Core integration/staging tree
bianan/CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
bianan/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
bianan/cat
Cat: A Simple Latex Template For Writing Manuscript
bianan/CS294-homework
Deep Reinforcement Learning Homework
bianan/DeepRecommend.com
Collected materials on deep recommender systems
bianan/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
bianan/easy-scraping-tutorial
Simple but useful Python web scraping tutorial code.
bianan/EffectiveTensorflow
TensorFlow tutorials and best practices.
bianan/gnn
Graph neural nets & geometric deep learning
bianan/models
Models and examples built with TensorFlow
bianan/NTM-tensorflow
"Neural Turing Machine" in Tensorflow
bianan/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
bianan/pytorch-rl
Deep Reinforcement Learning with pytorch & visdom
bianan/Quantum
Microsoft Quantum Development Kit Samples and Libraries
bianan/shap
Explain the output of any machine learning model using expectations and Shapley values.
bianan/tensorflow-char-rnn
Char-RNN implemented using TensorFlow.
bianan/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
bianan/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
bianan/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook