AI · alternatives · 2026
24 alternatives to Matrix Multiplication with Half the Multiplications
Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.
This is a software tool that optimizes matrix multiplication by reducing the number of computational multiplications required. It targets developers and researchers who work with matrix operations in mathematics… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Matrix Multiplication with Half the Multiplications launched in 2024; newer entries below may have overtaken it.
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Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps. Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically. Quadratic is built…
2023 · quadratichq.com · its alternatives →
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Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator - joennlae/halutmatmul
2023 · github.com · its alternatives →
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Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…
2024 · asciinema.org · its alternatives →
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Quadratic AI▲398The AI spreadsheet with code and connections
2025 · quadratichq.com · its alternatives →
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Quadratic▲198Analyze your data with AI, Python, SQL, and formulas
2023 · quadratichq.com · its alternatives →
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Trying to do gradient descent using automatic differentiation over branchy programs? Or to combine them with neural networks for end-to-end training? Then this might be interesting to you. We develped DiscoGrad, a tool for automatic differentiation through C++ programs involving input-dependent control flow (e.g., "if (f(x) < c) { ... }", differentiating wrt. x) and randomness. Our initial motivation was to enable the use of gradient descent with simulations, which often rely heavily on such discrete branching. The latter makes plain autodiff mostly useless, since it can only account for the…
2024 · github.com · its alternatives →
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Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse
2019 · github.com · its alternatives →
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Real-time spreadsheet for developers
2024 · quadratichq.com · its alternatives →
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I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com · its alternatives →
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Algebraic Number Theory package. Contribute to louisabraham/algnuth development by creating an account on GitHub.
2018 · github.com · its alternatives →
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Evaluate a degree-n polynomial with about n/2 multiplications. Type a polynomial, pick ℚ, ℝ, ℂ, a Mersenne prime or a binary field, and get the preprocessed evaluation chain as math, C code or a circuit — everything runs in your browser.
Sep 2026 · thomasahle.com · its alternatives →
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Portable matrix multiplication library in C. Contribute to webDva/matrixmul development by creating an account on GitHub.
2018 · github.com · its alternatives →
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Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.
2021 · github.com · its alternatives →
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A langgraph based workflow with a C++ CUDA suite to optimize CUDA kernels - bertaye/agentic-cuda-optimizer
26d ago · github.com · its alternatives →
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This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
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I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
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Probabilistic integer arithmetic for Ruby. Contribute to saghm/very-ants development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Accelerated array computing and code transformations for R - r-xla/anvl
Mar 2026 · github.com · its alternatives →
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Synmetrix – production-ready open source semantic layer on Cube - synmetrix/synmetrix
2021 · github.com · its alternatives →
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Linear algebra concepts implemented in Go, mainly matrix manipulation - igomez10/linearalgebra
Jun 2026 · github.com · its alternatives →
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2024 · gitlab.com · its alternatives →
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Lightweight GPU accelerated HTML GUI for native JavaScript - maierfelix/azula
2019 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →