bianan

non-submodular-max

Source code for the paper "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" in ICML 2017

decentralized-ai.net

Materials regarding decentralized AI.

non-monotone-dr-submodular

Continuous DR-submodular Maximization: Structure and Algorithms

cfl

Repository for continual federated learning

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.

a_bite_on_tf

DPP

Materials related to Determinantal Point Processes (DPP), possibly more and more deep DPPs

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/

bigchaindb

BigchainDB is a scalable blockchain database

bitcoin

Bitcoin Core integration/staging tree

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cat

Cat: A Simple Latex Template For Writing Manuscript

CS294-homework

Deep Reinforcement Learning Homework

DeepRecommend.com

Collected materials on deep recommender systems

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

easy-scraping-tutorial

Simple but useful Python web scraping tutorial code.

EffectiveTensorflow

TensorFlow tutorials and best practices.

gnn

Graph neural nets & geometric deep learning

models

Models and examples built with TensorFlow

NTM-tensorflow

"Neural Turing Machine" in Tensorflow

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

Quantum

Microsoft Quantum Development Kit Samples and Libraries

shap

Explain the output of any machine learning model using expectations and Shapley values.

tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook