Fadamos

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

flet

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

awesome-data-labeling

A curated list of awesome data labeling tools

best_AI_papers_2021

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

hctsa

Highly comparative time-series analysis

TCDF

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

HAKE

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

AmortizedCausalDiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

entropy

EntroPy: complexity of time-series in Python (DEPRECATED)

HAKE-Action

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

compose-visual-relations

[NeurIPS 2021 Spotlight] Learning to Compose Visual Relations

spider_plot

Create a spider or radar plot with individual axes.

MVGC1

The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.

hcga

Highly Comparative Graph Analysis - Code for network phenotyping

causal

Discovering directional relations via minimum predictive information regularization

PymoNNto

The "Python Modular Neural Network Toolbox" allows you to create neuron groups, define their behaviour and connect them with synapse groups.

ETCPy

Compute Effort To Compress (ETC) using the NSRPS algorithm in Python

pTE

pseudo transfer entropy

MuTE

schooling_fish

This repository contains codes and data used in the research article "Noise-Induced Schooling of Fish" (https://doi.org/10.1038/s41567-020-0787-y). Currently to use any material on this repository please contact Jitesh Jhawar (jiteshjhawar@gmail.com)

Stochastic-Multi-Armed-Bandit

Implementation of 9 multi-armed bandit algorithm for the stationary stochastic environment

OntoQA

Metric-Based Ontology Quality Analysis

lagrangian-betweenness

SharkBehaviorClassification

Application of Stochastic Variational Deep Kernel Learning with self-attention for learning Kernels with recurrent structure to multivariate time-series classification of California Horn Shark behavior

Shepherding

Machine Learning and Guidance of Swarm in Dynamic and Partially Observable Environments

Action-Elimination-for-Multi-Armed-Bandits

Action elimination for multi-armed bandits

stn-lyapunov

SharkBehaviorClassification

Application of Stochastic Variational Deep Kernel Learning with self-attention for learning Kernels with recurrent structure to multivariate time-series classification of California Horn Shark behavior

Online-Learning-Labs

Matlab laboratories for the course "Online Learning and Monitoring" at Politecnico di Milano

multi-armed-bandit-policies

Various policies for MABs simulated in MATLAB