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abba-lstm

ai-news

Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

attention-boosted-deep-networks-for-video-classification

This is a implementation of integrating a simple but efficient attention block in CNN + bidirectional LSTM for video classification.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-inverse-reinforcement-learning

Literature and code for inverse reinforcement leanring research

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

bcq

Author's PyTorch implementation of BCQ for continuous and discrete actions

benchmarking_dl_mimiciii

bnlearn

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

critical-care-unit-re-admission-prediction-using-machine-learning

To predict the chances of getting admitted again within a month using the Doctors' notes.

dcurves

Decision Curve Analysis

deep-learning-colonoscopy

Review in Deep Learning for Polyp Detection and Classification in Colonoscopy.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dissertation-irl

garage

A toolkit for reproducible reinforcement learning research.

gcn_mdd_classification

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google Research

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

horseshoe-bnn

A Bayesian Neural Network with a horseshoe prior for improved interpretability

imv_lstm

Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-machine-learning-with-python

Interpretable Machine Learning with Python, published by Packt

interpretable-ml-book

Book about interpretable machine learning

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

inverse_rl

Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inverse Reinforcement Learning" - (Ziebart et al. 2008)

inverserl-pytorch

Pytorch GAIL VAIL AIRL VAIRL EAIRL Implementation

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

irl-maxent-1

Experiments showing effects of parameters on Maximum Entropy Inverse Reinforcement Learning using grid world