Alternatives and similar repositories for awesome-cuda-programming

Users that are interested in awesome-cuda-programming are comparing it to the libraries listed below

• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆158Updated 2 years ago
• mli / new-docs
  https://beta.mxnet.io/
  ☆13Updated 6 years ago
• init27 / MIT-6.S094-Deep-Learning-for-Self-Driving-Cars
  ☆55Updated 7 years ago
• amrmorsey / Latte
  Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Wi…
  ☆13Updated 7 years ago
• csc-training / CUDA
  Introduction to CUDA programming
  ☆129Updated 8 years ago
• mcarilli / mixed_precision_references
  Personal collection of references for high performance mixed precision training.
  ☆41Updated 6 years ago
• PacktPublishing / Hands-On-GPU-Programming-with-CUDA-C-and-Python-3.x-Second-Edition
  Hands-On GPU Programming with Python and CUDA, Second Edition, published by Packt
  ☆38Updated 4 years ago
• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• heethesh / Computer-Vision-and-Deep-Learning-Setup
  Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano,…
  ☆73Updated 5 years ago
• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆25Updated 4 years ago
• ashwin / coursera-heterogeneous
  Resources to work offline on the assignments of Heterogenous Parallel Programming course from Coursera.
  ☆72Updated 6 years ago
• Jason-cs18 / Awesome-AI-Systems
  Resources for recent AI systems (deployment concerns, cost and accessibility). -- closed
  ☆12Updated 4 years ago
• lukemetz / Neural-Net-Experiments
  A GPU / CPU implementation of a feed forward neural network
  ☆31Updated 10 years ago
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆122Updated 2 years ago
• peter-can-talk / meeting-cpp-2017
  Slides and code for my talk at MeetingC++ 2017
  ☆48Updated 8 years ago
• ashokyannam / GPU_Acceleration_Using_CUDA_C_CPP
  Programming accelerated applications with CUDA C/C++, enough to be able to begin work accelerating your own CPU-only applications for per…
  ☆93Updated 7 years ago
• signalogic / SigDL
  Deep Learning Compression and Acceleration SDK -- deep model compression for Edge and IoT embedded systems, and deep model acceleration f…
  ☆20Updated 7 years ago
• vsmolyakov / cv
  computer vision
  ☆25Updated 7 years ago
• usyd-fsalab / NeuralNetworkRandomness
  ☆14Updated 3 years ago
• OrangeOwlSolutions / General-CUDA-programming
  ☆43Updated 7 years ago
• tebesu / pytorch-cpp-tutorial
  Example code to create and train a Pytorch model using the new C++ frontend.
  ☆17Updated 6 years ago
• halide / CVPR2015
  Example code used in the CVPR 2015 tutorial
  ☆42Updated 10 years ago
• kashif / cuda-workshop
  Code examples for the CUDA workshop
  ☆36Updated 3 years ago
• ashwin / fasthog
  FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04
  ☆20Updated 11 years ago
• Auron-X / GOTURN_Training_Toolkit
  Provides users a possibility to train their own GOTURN tracker CNN model on custom data
  ☆11Updated 8 years ago
• LambdaLabsML / diffusion-from-scratch
  ☆21Updated last year
• rbaygildin / learn-gpgpu
  Algorithms implemented in CUDA + resources about GPGPU
  ☆62Updated 4 years ago
• vulq / Flo
  Parallel network flows using OpenMP and CUDA.
  ☆28Updated 7 years ago
• eegkno / CUDA_by_practice
  CUDA by practice
  ☆134Updated 6 years ago
• xperience-ai / oreilly_opencv_workshop2018
  Code, environment instructions, documentation, test data and other materials for OpenCV workshop on O'Reilly OSCON 2018.
  ☆16Updated 7 years ago