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 9 days ago. Current rank #295. 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.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
