Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Updated
Aug 20, 2024 - 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
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
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.
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.
Inference Llama 2 in one file of pure 🔥
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Deep learning in Rust, with shape checked tensors and neural networks
On-device AI across mobile, embedded and edge for PyTorch
TensorLy: Tensor Learning in Python.
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
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
The Egison Programming Language
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