Experience-Driven Black-Box Cost Control for Coding Agents
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Make your agents talk human. ADHD-friendly output styles for Claude Code, Codex, and others. So you can pay attention, not tokens.
ComfyUI node for mode-based pixel-grid collapse and perceptual OKLab palette reduction
Uniform Manifold Approximation and Projection
Python Dynamic Mode Decomposition
Studio-quality voice enhancement that never uploads your voice. Local, open-source alternative to cloud podcast enhancers.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
OpenCL integration for Python, plus shiny features
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Source-available LLM router and AI cost optimizer. Routes simple prompts to cheap or local models and complex ones to premium models, automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor and OpenClaw. Self-hosted, no middleman.
VRAM-efficient MiniMax H3 for ComfyUI: QKV/RoPE/MLP activation chunking, automatic OOM chunk reduction, and CK/SLA/Sol/Hybrid attention for SM75 and SM80+ GPUs.
Extensible, parallel implementations of t-SNE
A code generator for array-based code on CPUs and GPUs
🐛 Advanced web vulnerability scanner with 5-rule false-positive reduction, WAF evasion, and modern HTML reports
📖 GPU parallel programming from the ground up : CUDA C++ and Rust 🦀 kernels paired with clickable SVG 2D/3D architecture diagrams (warps, SMs, memory tiers). Includes reduction, scan, matmul, and a full image‑processing capstone
Module for automatic summarization of text documents and HTML pages.
Memory-efficient CTC loss with exact loss and first-order gradient equivalence under vocabulary reduction, and activation memory that no longer scales linearly with vocabulary size.
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