Algo Week
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Anomaly Detection Resources | 7,616 | 6 months ago | 10 | agpl-3.0 | Python | |||||
| Anomaly detection related books, papers, videos, and toolboxes | ||||||||||
| Sealion | 328 | 6 months ago | 113 | May 08, 2022 | apache-2.0 | Python | ||||
| The first machine learning framework that encourages learning ML concepts instead of memorizing class functions. | ||||||||||
| Machine Learning Algorithms From Scratch | 312 | 3 years ago | 2 | Python | ||||||
| Implementing machine learning algorithms from scratch. | ||||||||||
| Dragan | 182 | 6 years ago | 3 | mit | Jupyter Notebook | |||||
| A stable algorithm for GAN training | ||||||||||
| Labelpropagation | 101 | 2 years ago | gpl-3.0 | Python | ||||||
| A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008). | ||||||||||
| Classix | 85 | 4 months ago | 112 | November 27, 2023 | 1 | mit | Python | |||
| Fast and explainable clustering in Python | ||||||||||
| Sutton Barto Rl Exercises | 83 | 4 months ago | Jupyter Notebook | |||||||
| 📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction | ||||||||||
| Online Category Learning | 56 | 7 years ago | Python | |||||||
| ML algorithm for real-time classification | ||||||||||
| Fast Kmeans | 50 | 7 months ago | 12 | mit | C++ | |||||
| Code to speed up k-means clustering. Originally at BaylorCS/baylorml. | ||||||||||
| Deepvis | 38 | 7 years ago | Swift | |||||||
| machine learning algorithms in Swift | ||||||||||
Alternatives To Algo WeekSelect To Compare
Alternative Project Comparisons
Popular Algorithms Projects
Popular Unsupervised Learning Projects
Popular Computer Science Categories
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Algorithms
Unsupervised Learning