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-next-poi

Deep learning with Next POI recommendation 80% accuraccy

2021ieee-vast-challenge-kidnap-visualization

abnormality_in_dynamic_mobility_graph

Abnormal Events Causal Analysis from Spatio-temporal Human Mobility Network

ac_ltl_wsn

Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing

acousticsensorlocalization

Projeto final da disciplina de Processamento Digital de Sinais de Audio de 2019.1

acrocart

Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods

active-target-localization

Active Localization of Multiple Targets Using Noisy Relative Measurements

ada-2021-project-pyca

ada-2021-project-pyca created by GitHub Classroom

adacare

Source code for AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration

adaptive

Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

adaptive-feature-weighted-k-means

This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'

adaptive-particle-swarm-optimization

Zhi-Hui Zhan, Jun Zhang, Yun Li and H. Chung, "Adaptive Particle Swarm Optimization", IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 39, no. 6, pp. 1362-1381, 2009.

adaptive-span

Transformer training code for sequential tasks

adaptive-span-tensorflow

TensorFlow implementation of Adaptive Attention Span in Transformers (https://arxiv.org/abs/1905.07799)

adaptive-traffic-signal-control-using-reinforcement-learning

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

adaptive-transformers-in-rl

Adaptive Attention Span for Reinforcement Learning

adaptive_control

Various adaptive control implementations (university project)

adaptive_filter

Various adaptive filter implementations (university project)

adaptive_kernel_methods

Python code for Kernel LMS (KLMS) algorithm with sklearn API. We also implemented neural spike kernels. We also have KLMS and Kernel PCA for neural spike data.

adaptiveattention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

ade-fewshot

adfu

IEEE TRANSACTIONS ON CYBERNETICS codes for ADFU.

adpclust

Fast Clustering Using Adaptive Density Peak Detection

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

adversarial-relation-classification

Unsupervised domain adaptation method for relation extraction

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

ai-as-an-api

Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.

ais-lstm

LSTM Keras Neural Network to predict ship location using Danish AIS data

aisabnormal

System to detect abnormal vessel behavior based on historical AIS data