Timothée Lesort

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

Generative_Continual_Learning. Python

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. Python

GIE-TensorRT--Documentation. HTML

Learning-State-Representation. Lua

torch-autoencoder. Lua

continual_learning_papers. Relevant papers in Continual Learning

CL_Visualization. Python