Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP Paper is uploaded!

High-performance C++ tensor library with NumPy/PyTorch-like API

Stats, linear algebra and einops for xarray

Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️

Some utility functions to help myself (and perhaps others) go faster with ML/AI work

No description available

Simplistic API for deep learning tensor operations

Blazingly fast capsule networks in 75 lines of pytorch+einops

Declarative and readable tensor operations in Julia

Einsum with einops style variable names

Clean, reproducible, boilerplate-free deep learning project template.

a transformer implemented primarily using einops and trained on the tinystories dataset

C++17 implementation of einops for libtorch - clear and reliable tensor manipulations with einstein-like notation

A PyTorch implementation of Involution using einops https://arxiv.org/pdf/2103.06255.pdf

A collection of components for transformers 🧩

Meshgrids and random sampling in high dimensional spaces from einops-style notation

My interpretation of what einops indexing would look like (created to work on during my SERI MATS project).

Model batching for PyTorch. With the help of torch.fx and einops.

Minimal torch/numpy relational function using einops.

Demonstration for NVIDIA's Nemotron-Parse-v1.1 model, designed for advanced document parsing and OCR. Upload images of documents (e.g., papers, forms) to extract structured content: text, tables (LaTeX), figures, and titles. Outputs annotated images with colored bounding boxes and processed markdown/LaTeX text for easy integration.

einops, pytorch, etc

R port of the einops library

Extremely simplistic viewer of small ndimensional patches for jupyter notebook. Powered by einops

TensorCrafter is an efficient, from-scratch reimplementation of einops.rearrange with full support for complex patterns, split axes, ellipses, and error handling. Built to be robust, iterative, and optimized without over-engineering.

One tensor operation is all you need

Ur uncensorable DogeOS and Life user repository and app store package HTTP mirror.

Layer normalization with einops semantics.

Finetuned Models on elaborate Pytorch/Einops code for models to synthesize state of the art models

This application allows users to perform various OCR tasks such as converting documents to markdown, extracting text, locating specific text within images, and parsing figures, all through a user-friendly interface. This demo leverages the deepseek-ai/DeepSeek-OCR-2