Add initial checkpoints

LICENSE

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+MIT License
+
+Copyright (c) 2024 Lorenzo Bonicelli, Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.MD

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+# Mammoth - An Extendible (General) Continual Learning Framework for Pytorch
+
+This repository contains a collection of model checkpoints for the [Mammoth](https://github.com/aimagelab/mammoth) framework.
+
+The checkpoints are organized in folders, each containing the model checkpoints for a specific *backbone*.
+
+For more information on how to use these checkpoints, please refer to the [Mammoth documentation](https://aimagelab.github.io/mammoth/index.html).

resnet18/cifar100-twf-pretrain.pth

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+size 44955981

resnet18/tinyimagenet-r-twf-pretrain.pth

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