📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
CUDA Tensor Transpose (cuTT) library
Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
#计算机科学#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
Mixed precision training from scratch with Tensors and CUDA
A light-weight tensor operation library for C and CUDA
C++ tensors with broadcasting and lazy computing
Tensors and neural networks in Haskell
Simple, safe way to store and distribute tensors
CUDA 开发人员使用的示例,演示了 CUDA 工具包中的功能
#计算机科学#Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
#计算机科学#Tensors and differentiable operations (like TensorFlow) in Rust
Library to manipulate tensors on the GPU.
#安全#A library for doing homomorphic encryption operations on tensors
Named tensors with first-class dimensions for PyTorch
pure-Python HistFactory implementation with tensors and autodiff