GitHub

Unsupervised image clustering with modern deep embeddings.

tasnif is built and packaged with uv, but plain pip works too.

Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
techtimes

Open-Weight AI Enters GitHub Copilot: Kimi K2.7 Code Costs Less, Audits Differently

GitHub moved the AI coding landscape on Wednesday when it made Kimi K2.7 Code — a Beijing-built, open-weight model from Moonshot AI — generally available in the GitHub Copilot model picker, marking ...
GitHub

prachimishra1/Customer-Segmentation-Using-K-Means-Clustering

About This project uses K-Means Clustering, an unsupervised machine learning algorithm, to perform customer segmentation based on various attributes such as spending habits, purchasing frequency, and ...