Search Results for "deepseek"

...It acts as an intermediary server that exposes Ollama or other model providers through a Copilot-compatible interface, allowing developers to use local or self-hosted models for inline code completion. The project supports multiple providers such as Ollama, DeepSeek, and Mistral, enabling flexibility between local and remote inference depending on user needs. It integrates with editors like Neovim, VS Code, Zed, and Emacs by redirecting Copilot traffic through a configurable proxy layer. The system allows customization of parameters such as context size, token prediction limits, and prompt templates, which gives developers granular control over how completions are generated. ...

DSH Web UI is a modular plugin and skin collection that expands the DeepSeek Harness browser interface into a broader development workspace. Its components attach through the official DSH profile mechanism without modifying the Harness source code. Users can add a task board that executes real agent sessions and supports scheduled jobs through cron expressions. A Git graph visualizes branches and commit history, while additional panels provide files, editing, terminals, Git operations, and browser access. ...

DualPipe is a bidirectional pipeline parallelism algorithm open-sourced by DeepSeek, introduced in their DeepSeek-V3 technical framework. The main goal of DualPipe is to maximize overlap between computation and communication phases during distributed training, thus reducing idle GPU time (i.e. “pipeline bubbles”) and improving cluster efficiency. Traditional pipeline parallelism methods (e.g. 1F1B or staggered pipelining) leave gaps because forward and backward phases can’t fully overlap with communication. ...

Tile Kernels is a DeepSeek kernel library written with TileLang for high-performance AI and machine-learning workloads. It contains specialized kernels for areas such as mixture-of-experts routing, quantization, batched transpose operations, Engram gating, and Manifold HyperConnection components. The project includes both optimized kernel implementations and PyTorch reference versions for comparison and validation.

smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark.