Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Updated
May 27, 2024 - Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The V Tensor Library
An Engine-Agnostic Deep Learning Framework in Java
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
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The Unified AI Framework
A Machine Learning framework from scratch in Pure Mojo 🔥
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
Automatic differentiation for tensor operations
Sharp Grad is a lightweight automatic differentiation library in C#. It's suitable for implementing machine learning algorithms, scientific computations, and any applications that require gradient-based optimization.
toydl: toy deep learning algorithms implementation, backend with self implement toy torch
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Deep Learning Framework Written in Rust
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
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