TLESORT/Learning-State-Representation

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Created about 8 years ago
Updated over 7 years ago

TLESORT/Learning-State-Representation

TLESORT

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YOLO-TensorRT-GIE-

This code is an implementation of a trained YOLO neural network used with the TensorRT framework.

Generative_Continual_Learning

State-Representation-Learning-An-Overview

Simplified version of "State Representation Learning for Control: An Overview" bibliography

Continual_Learning_Data_Former

A pytorch compatible data loader to create sequence of tasks for Continual Learning

PhD

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

Automatic_Awesome_Bibliography

Automatic script to parse bibtex to mardown to create manageable bibliography github repository. We take the example of continual learning to illustrate the script.

Baxter_Learning

Introduction to a method for training a deep neural network to learn a representation of a robot's environment state using a priori knowledge by an unsupervised fashion

SCoLe-SCaling-Continual-Learning

Official Code for "Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation", CoLLas 2023.

Generative_Training

torch-autoencoder

CL_Visualization