A CUDA Extension of Neural Network Libraries
APACHE-2.0 License
Dockerfiles and manual for easy build of docker image with CUDA10.X and cuDNN7.6 to run TensorFlo...
Weighted MinHash implementation on CUDA (multi-gpu).
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being p...
BQN virtual machine
A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, ...
Provide Docker build sequences of PyTorch for various environments.
Some CUDA design patterns and a bit of template magic for CUDA
An architecture for LLMs' continual-learning and long-term memories
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...
CUDA C++ Core Libraries