Open source. Open possibilities.

PaddlePaddle is an industrial-grade deep learning platform providing a comprehensive framework for machine learning, including model libraries and development kits.

PyTorch is an open-source machine learning library providing tensor computation with GPU acceleration and a flexible deep neural network framework based on a tape-based autograd system.

NEAT-AI is a Deno/TypeScript neuroevolution library that evolves neural networks using WASM-accelerated activation, memetic evolution, error-guided structural discovery, and optional GPU-accelerated analysis via a Rust FFI extension.

TensorFlow is an end-to-end open source platform for machine learning, providing a flexible ecosystem of tools and libraries for building and deploying ML-powered applications.

Hueclid generates accessible UI color palettes from screenshots or photos, producing design-system roles (background, surface, text, primary, danger) with verified contrast using APCA and constrained optimization.

Shared native Rust compute core for NEAT-AI: the neat-core crate holds the scoring, loss and batched SIMD kernels used to run evolved neural networks, with optional rayon parallelism and a dual wasm32 and wasm64 WebAssembly bundle release pipeline.

Qdrant is a high-performance vector similarity search engine and database written in Rust, designed for AI applications requiring semantic search and large-scale vector management.

OneFlow is a user-friendly, scalable, and efficient deep learning framework featuring a PyTorch-like API, Global Tensor for n-dimensional parallel execution, and a Graph Compiler for model acceleration and deployment.