Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Updated
Jun 11, 2023 - Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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》)
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
LibRec: A Leading Java Library for Recommender Systems, see
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Burn - A Flexible and Comprehensive Deep Learning Framework in Rust
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
A list of awesome compiler projects and papers for tensor computation and deep learning.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
TensorLy: Tensor Learning in Python.
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
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
Deep learning in Rust, with shape checked tensors and neural networks
The Egison Programming Language
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
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