154 Open source projects that are alternatives of or similar to Tullio.jl

Statically sized tensors and related operations for Julia

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Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Automatic Differentiation for Tensor Algebras

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

Julia port of the Python autograd package.

Algorithms that combine tensor network methods with automatic differentiation

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

Differentiable interface to FEniCS for JAX using dolfin-adjoint/pyadjoint

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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MATLAB Tensor Tools

Reverse Mode Automatic Differentiation for Julia

qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks

Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++

Guile numerical arrays and tensor extension

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.

Image recognition and classification using Convolutional Neural Networks with TensorFlow

Automatic Differentiation Library for Computational and Mathematical Engineering

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

The Egison Programming Language

Source Code Generation for Automatic Differentiation using Operator Overloading

Implementation of a Tensor Processing Unit for embedded systems and the IoT.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Source-to-Source Debuggable Derivatives in Pure Python

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

Read and write Neuroglancer datasets programmatically.

A library for doing homomorphic encryption operations on tensors

N-dimensional matrix class for Rust

My personal reference for Tensorflow

QuantumFlow: A Quantum Algorithms Development Toolkit

M.I.T General Circulation Model master code and documentation repository

TensorLy: Tensor Learning in Python.

High-Performance Tensor Transpose library

C++ template library for probabilistic programming

package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

A C++ Cuda Tensor Lazy Computing Library

Self-contained Machine Learning and Natural Language Processing library in Go

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

Intimate Affection Auditor

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Scientific computing with N-dimensional arrays

Deep.Net machine learning framework for F#

Open deep learning compiler stack for cpu, gpu and specialized accelerators

A simple library for creating complex neural networks

Local, global, and beyond optimization for scientific machine learning (SciML)

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

automatic differentiation made easier for C++

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Julia bindings for the Enzyme automatic differentiator