cuML - RAPIDS Machine Learning Library
A GPU-powered real-time analytics storage and query engine.
A community run, 5-day PyTorch Deep Learning Bootcamp
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Deep learning with cats (^._.^)
cuDF - GPU DataFrame Library
Ethereum miner with OpenCL, CUDA and stratum support
NumPy-like API accelerated with CUDA
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
HIP : Convert CUDA to Portable C++ Code
World's fastest and most advanced password recovery utility
Build and run Docker containers leveraging NVIDIA GPUs
A flexible framework of neural networks for deep learning
This is the official location of the Kaldi project.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
ArrayFire: a general purpose GPU library.
Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer
LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL, Vulkan), audio (OpenAL), parallel computing (OpenCL, CUDA) and XR (OpenVR, LibOVR) applications.
NumPy aware dynamic Python compiler using LLVM
This video walks step-by-step through the process of taking a deep network trained in Keras and Tensorflow and generating code to run directly on a GPU.
Dave Airlie https://2019.linux.conf.au/schedule/presentation/182/ CUDA has become the defacto standard for GPU compute in most fields. AI and Machine ...
Artificial intelligence with PyTorch and CUDA. Let's discuss how CUDA fits in with PyTorch, and more importantly, why we use GPUs in neural network ...
This time I have added image-based lighting (IBL) to my Monte Carlo-based path tracer. This is running in real time on the GPU using CUDA, with OpenGL used ...
Learn how to write, compile, and run a simple C program on your GPU using Microsoft Visual Studio with the Nsight plug-in. Find code used in the video at: ...
If you can parallelize your code by harnessing the power of the GPU, I bow to you. GPU code is usually abstracted away by by the popular deep learning ...
If you've ever owned an Nvidia graphics card, chances are that card featured CUDA technology, a parallel-processing GPU format suitable for developers and ...
Speaker: Mr. Oren Tropp (Sagivtech) "Prace Conference 2014", Partnership for Advanced Computing in Europe, Tel Aviv University, 13.2.14.
Programming for GPUs Course: Introduction to OpenACC 2.0 & CUDA 5.5 - December 4-6, 2013.
Download Instructions: http://www.vidmuze.com/how-to-enable-gpu-cuda-in-adobe-cs6-for-mac/ A lot of folks were complaining about how most GPU ...