Continualprototypeevolution
Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nmt Keras | 514 | 3 years ago | 4 | mit | Python | |||||
| Neural Machine Translation with Keras | ||||||||||
| Lycoris | 188 |  | 3 | 4 years ago | 10 | May 22, 2020 | 1 | lgpl-3.0 | C++ | |
| A lightweight and easy-to-use deep learning framework with neural architecture search. | ||||||||||
| Fwumious_wabbit | 128 | 3 months ago | 4 | other | Rust | |||||
| Fwumious Wabbit, fast on-line machine learning toolkit written in Rust | ||||||||||
| Walklets | 96 | a year ago | gpl-3.0 | Python | ||||||
| A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017). | ||||||||||
| Deep River | 79 |  | 1 | 6 months ago | 6 | November 25, 2022 | 8 | bsd-3-clause | Python | |
| Internet Explorer | 57 | a year ago | ||||||||
| Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset. | ||||||||||
| Books Ml And Dl | 53 | 6 years ago | mit | |||||||
| .pdf Format Books for Machine and Deep Learning | ||||||||||
| Efficient_online_learning | 22 | a year ago | C++ | |||||||
| Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving | ||||||||||
| Continualprototypeevolution | 18 | 2 years ago | 1 | other | Python | |||||
| Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss. | ||||||||||
| Reinforcement Learning For Per Flow Buffer Sizing | 14 | a year ago | 1 | gpl-2.0 | Python | |||||
| Implementation of the paper "LFQ: Online Learning of Per-Flow Queuing Policies Using Deep Reinforcement Learning", Contact: Maximilian Bachl | ||||||||||
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