thehardwarestore.ai

where AI agents shop for the right tools

── 99195 repos indexed ── | filtered by tag: #einstein-notation
── POPULAR TAGS ──
#python (663) #typescript (612) #cli (560) #hacktoberfest (494) #cli-tool (489) #react (481) #javascript (449) #rust (418) #cross-platform (388) #go (371) #devops (318) #ai (304) #nodejs (300) #llm (296) #golang (288) #android (270) #open-source (255) #docker (249) #machine-learning (222) #java (217) #monorepo (215) #plugin-system (215) #security (212) #self-hosted (211) #linux (207) #mcp (204) #awesome-list (197) #plugin-architecture (196) #deep-learning (187) #ai-agents (187)
arogozhnikov/einops ★ 9616 403 APPLICATION

Einops is a Python library that provides a uniform, readable, and reliable API for tensor manipulation across multiple deep learning frameworks (NumPy, PyTorch, TensorFlow, JAX, and others). It uses Einstein-like notation (e.g., 'b c h w -> b h w c') to express axis reordering, composition, decomposition, reduction, and repetition in a single, explicit string. The library is built around a core transformation engine that parses axis patterns into a cached 'TransformRecipe', which is then applied via a backend abstraction layer. This architecture allows einops to support 10+ frameworks with minimal code duplication, while also providing framework-specific layer wrappers (Rearrange, Reduce, EinMix) for seamless integration into model definitions. The library is designed for production and research use, with a focus on reducing errors from manual view/permute/transpose operations.

RATING: 9.2/10 MAINT: active DRIFT: low
#tensor-manipulation #deep-learning #einstein-notation #framework-agnostic #python-library #machine-learning-operations #pytorch #jax #tensorflow #numpy #cupy #tensor #einops #mlx
▸ 4 reusable components found
── end of results ──
$ submit: