This is a series of Jupyter notebooks that help visualize the algorithms that are used in machine learning. Learn more about neural networks, regression, k-means clustering, and more.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | cnsplots: Python Data Visualization for Complex Datasets | 0 | 10 | 10-08-2026 |
| 2 | Масштабируемость ML-алгоритмов при увеличении вычислительных ресурсов | 0 | 17.69 | 04-06-2026 |
| 3 | itertools cheatsheet | 0 | 3.05 | 18-07-2026 |
| 4 | pytrendy: Trend Detection in Time Series Data | 0 | 10 | 20-06-2026 |
| 5 | MO-Gymnasium - environments for reinforcement learning | 0 | 26.67 | 19-07-2026 |
| 6 | Understand production LLM behavior with Patterns in Agent Observability | 0 | 6.5 | 09-06-2026 |
| 7 | Skip Jupyter’s Hidden State: Reactive Notebooks With Marimo | 0 | 7.8 | 20-06-2026 |
| 8 | Нейросети в учебе — | 0 | 0 | 11-02-2026 |
| 9 | Monitor LLM routing with the Kubernetes Inference Extension | 0 | 8.23 | 29-05-2026 |