Developer Tools / Machine Learning / LLM Architecture
A PyTorch reference implementation of DeepSeek Sparse Attention from the LLMs-from-scratch project, including a lightweight indexer, top-K token selection, and a GPT-style model with KV-cache support.
The page clearly describes an AI/LLM-focused code project, explains the DSA mechanism, and shows concrete files, classes, and usage flags. It gives enough evidence for a useful public listing and appears aimed at developers studying or experimenting with sparse attention in transformer models.
The snapshot shows a focused implementation example, but not benchmarks, tests beyond a single file listing, or proof of end-to-end training quality. It also does not show the full repo context for how this chapter component fits into the larger project beyond the README excerpt.
Last evaluated 110 days ago. Current rank #1432. Down 2 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
