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awesome-incremental-learning

Awesome Incremental Learning

bgd

Implementation of Bayesian Gradient Descent

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

clogan

Implementation of Rios, A., & Itti, L. (2019, August). Closed-loop memory gan for continual learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 3332-3338). AAAI Press.

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

ekf-slam-matlab

A Simultaneous Localisation and Mapping simulation in MATLAB

hypercl

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

lifelongvae_pytorch

pytorch implementation of https://arxiv.org/abs/1705.09847

mcmestym

A Python module which helps to evaluate uncertainty in measurement with the Monte Carlo method.

mer

Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

mergan

multivariate-time-series-forecasting-using-lstm

LSTM时间序列预测

mutisensorfusion

多传感器融合定位模块,可融合IMU/GNSS/ODOM/LIDAR等传感器数据完成高精度定位,输出位置、速度、姿态等导航结果

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

pydynamic

Python library for the analysis of dynamic measurements

sensor_calibration

Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration

study

ucl

The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

variational-autoencoder

PyTorch implementation of "Auto-Encoding Variational Bayes"

variational-continual-learning

Implementation of the variational continual learning method