Timothée Lesort's repositories
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
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.
continual_learning_papers
Relevant papers in Continual Learning
awesome-lifelong-continual-learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
continual-knowledge-learning
[ICLR 2022] Towards Continual Knowledge Learning of Language Models
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
dataset-distillation
Dataset Distillation
GradientEpisodicMemory
Continuum Learning with GEM: Gradient Episodic Memory
nngeometry
NNGeometry is a PyTorch library for computing Fisher Information Matrices and Neural Tangent Kernels
pytorch-cifar-models
Pretrained models on CIFAR10/100 in PyTorch
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
pytorch-notebook
Jupyter Notebook Pytorch Stack
pytorch-spectral-normalization-gan
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
robustness
Corruption and Perturbation Robustness (ICLR 2019)
stable-baselines3
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.