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Awesome Incremental Learning
Implementation of Bayesian Gradient Descent
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
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.
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
A Simultaneous Localisation and Mapping simulation in MATLAB
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.
pytorch implementation of https://arxiv.org/abs/1705.09847
A Python module which helps to evaluate uncertainty in measurement with the Monte Carlo method.
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)
LSTM时间序列预测
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
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Python library for the analysis of dynamic measurements
Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration
The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
High-quality implementations of standard and SOTA methods on a variety of tasks.
PyTorch implementation of "Auto-Encoding Variational Bayes"
Implementation of the variational continual learning method
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.