CUDA topic
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
Awesome-CS-Books
A curated list of awesome computer science books; mainly focused on hardware acceleration, deep learning, machine learning and brain computer interface.
Optical-Flow-GPU-Docker
Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.
CX_DB8
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
gLM
A GPU language model, based on btree backed tries.
libdiffusion
Proof of Concept: a C-callable GPU-enabled parallel 2-D heat diffusion solver written in Julia using CUDA, MPI and graphics
ParallelStencil.jl
Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
docker-hashcat
Latest hashcat docker for CUDA, OpenCL, and POCL. Deployed on Vast.ai
cuda-neural-network
Convolutional Neural Network with CUDA (MNIST 99.23%)
Open3D
Open3D: A Modern Library for 3D Data Processing