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Name: Anton Lee
Type: User
Name: Anton Lee
Type: User
ARFF formatted file reader in C++
Avalanche: an End-to-End Library for Continual Learning.
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
My GitHub for handing in assignments for meta-heuristic algorithms
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Ever wanted a bot to automatically deal with spammers? This is your discord.py library for it.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Gothello is a combination of the games of "Go" and "Othello"
Hydra is a framework for elegantly configuring complex applications
The Free Software Media System
Web Client for Jellyfin
JPype is cross language bridge to allow Python programs full access to Java class libraries.
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
:ledger: Sphinx source parser for Jupyter notebooks
Lee, A., Gomes, D. H. M., & Zhang, D. Y. (2022). Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning. Proceedings of 2022 International Joint Conference on Neural Networks (IJCNN)
🌊 Online machine learning in Python
A machine learning package for streaming data in Python. The other ancestor of River.
Split-and-Bridge strategy for comparison
SurpriseNet is a class incremental continual learning technique. It allows a neural network to learn from a stream or sequence of classes rather than a traditional static dataset. The main challenge it solves is differentiating classes that were never presented side-by-side.
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.