Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
Updated
Aug 3, 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 (《 chiều sâu học tập dàn giáo PyTorch: Nhập môn cùng thực chiến 》)
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 là một cái nhanh chóng, nhưng mở rộng, dễ dàng sử dụng thả duy trì tự động cầu đạo chiều sâu học tập dàn giáo
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
Add a description, image, and links to the tensor topic page so that developers can more easily learn about it.
To associate your repository with the tensor topic, visit your repo's landing page and select "manage topics."