583 Open source projects that are alternatives of or similar to Spoc

Simple OpenCL Samples that Build with Khronos Headers and Libs

Vulkan compute for people

A fast and highly scalable GPU dynamic memory allocator

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

Instant neural graphics primitives: lightning fast NeRF and more

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

High-Performance Multiple-Backend Renderer Based on LuisaCompute

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Dockerfile containing FFmpeg, OpenCV4 and Python2/3, based on Ubuntu LTS

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV

source code for paper "Deep Discrete Supervised Hashing"

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

Some CUDA design patterns and a bit of template magic for CUDA

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

A fast (?) random sampling drawing library

An interval arithmetic and affine arithmetic library for NVIDIA CUDA

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

Deep learning with cats (^._.^)

Various C/C++ examples. DirectX, OpenGL, CUDA, Vulkan, OpenCL.

Python interface to GPU-powered libraries

Application of machine learning to the Coinbase (GDAX) orderbook

Lightning fast & tiny C++/CUDA neural network framework

Efficient GPU kernels for block-sparse matrix multiplication and convolution

Deep.Net machine learning framework for F#

H2Oai GPU Edition

Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

CUDA integration for Python, plus shiny features

CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.

NumPy aware dynamic Python compiler using LLVM

Ultrasonic NDT Simulator with engine core based on the Elastodynamic Finite Integration Technique (EFIT)

Weighted MinHash implementation on CUDA (multi-gpu).

How fast can we brute force a 64-bit comparison?

PyTorch implementation of Deformable Convolution

OpenCL 1.2 implementation for Tensorflow

PyTorch bindinga for Baidu's Warp-CTC

continuous energy monte carlo neutron transport in general geometries on GPUs

Embedded language for high-performance array computations

bazel.cmake mimics the behavior of bazel to simplify the usability of CMake

Real-time large scale dense visual SLAM system

Experimental parallel compression algorithm

Flattened convolutional neural networks (1D convolution modules for Torch nn)

High-Performance Graph Primitives on GPUs

HPC solver for nonlinear optimization problems

Large octree map construction and rendering with CUDA and OpenGL

All-in-one AI container for rapid prototyping

GPU-accelerated Cloth TOP node for TouchDesigner using the NVIDIA Flex physics solver.

A community run, 5-day PyTorch Deep Learning Bootcamp

Fast parallel CTC.

N body gravity attraction problem solver

Go package for computer vision using OpenCV 4 and beyond.

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Rich Domain Model for JVM Bytecode and Framework to interpret and transpile it.

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"