Source code for the paper:
@inproceedings{GradientEpisodicMemory,
title={Gradient Episodic Memory for Continual Learning},
author={Lopez-Paz, David and Ranzato, Marc'Aurelio},
booktitle={NIPS},
year={2017}
}
To replicate the experiments, execute ./run_experiments.sh.
This source code is released under a Attribution-NonCommercial 4.0 International license, find out more about it here.
MetaMorph: Learning Universal Controllers with Transformers This is the code for the paper MetaMorph: Learning Universal Controllers with Transformers
MVTecAD A Pytorch loader for MVTecAD dataset. It strictly follows the code style of common Pytorch datasets, such as torchvision.datasets.CIFAR10. The
MoveNet MultiPose Tracking on OpenVINO
Network Tools Collection of miscellaneous and lightweight network tools to simplify daily operations, administration, and troubleshooting of networks.
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
Federated Learning Based on Dynamic Regularization This is implementation of Federated Learning Based on Dynamic Regularization. Requirements Please i
Overview of Credit Card Analysis In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm
Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
Learning Associative Inference Using Fast Weight Memory This repository contains the offical code for the paper Learning Associative Inference Using F
ALPHAMEPOL This repository contains the implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Envir
Description: This is the official implementation of our AAAI-21 accepted paper Label Confusion Learning to Enhance Text Classification Models. The str
RLLReg This repository contains a Pytorch implementation of the point set registration method RLLReg. Details about the method can be found in the 3DV
bta-lib - A pandas based Technical Analysis Library bta-lib is pandas based technical analysis library and part of the backtrader family. Links Main P
Uni-Fold: Training your own deep protein-folding models. This package provides an implementation of a trainable, Transformer-based deep protein foldin
Contrastive Learning for Cold-start Recommendation This is our Pytorch implementation for the paper: Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan L
Source code for EquiDock: Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking (ICLR 2022) Please cite "Independent SE(3)-Equivar
Emotion recognizer Table of contents Clone project Dataset Install dependencies Main program Demo 1. Clone project git clone https://github.com/GDSC20
Unseen Object Amodal Instance Segmentation (UOAIS) Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak, Kyoobin Lee This
Robustness between the worst and average case A repository that implements intermediate robustness training and evaluation from the NeurIPS 2021 paper
Decision Transformer Lili Chen*, Kevin Lu*, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas†, and Igor M
50 Jan 03, 2023
1 Dec 27, 2021
60 Nov 17, 2022
22 Mar 22, 2022
104 Jan 06, 2023
39 Jan 07, 2023
1 Mar 12, 2022
41 Nov 29, 2022
18 Oct 12, 2022
3 Dec 23, 2021
101 Nov 25, 2022
35 Nov 02, 2022
393 Dec 20, 2022
187 Jan 04, 2023
45 Dec 13, 2022
154 Jan 02, 2023
1 Oct 05, 2021
92 Dec 13, 2022
16 Dec 02, 2022
1.4k Jan 07, 2023