1361 Open source projects that are alternatives of or similar to tiny-cuda-nn

Fork of CUDA GPU memtest 👓

The C++ parallel algorithms library.

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ILGPU JIT Compiler for high-performance .Net GPU programs

A collection of GICP-based fast point cloud registration algorithms

Rust wrapper for ArrayFire

Rusty wrapper for the CUDA Driver API

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BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

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Fast Neural Machine Translation in C++

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

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A stream processing framework for high-throughput applications.

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CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

CUDA integration for Python, plus shiny features

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

Julia wrapper for CUDA runtime API

An extensible HPC framework for CUDA, OpenCL and native CPU.

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SUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode

🔅 Ray tracing library for Vulkan API (indev)

Gradient Boosting powered by GPU(NVIDIA CUDA)

Deep Learning library using GPU(CUDA/cuBLAS)

ThunderSVM: A Fast SVM Library on GPUs and CPUs

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oneAPI Math Kernel Library (oneMKL) Interfaces

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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

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

An open-source library of algorithms to analyse time series in GPU and CPU.

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Burstcoin C++ CPU and GPU Miner

QUDA is a library for performing calculations in lattice QCD on GPUs.

Build userspace NVMe drivers and storage applications with CUDA support

JCuda - Java bindings for CUDA

Build and run Docker containers leveraging NVIDIA GPUs

Examples of C# code compiled to GPU by hybridizer

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

⚡️ A fast 2kB low-level WebGL API.

Simple physically based path tracer based on Nvidia's Optix Ray Tracing Engine

No description or website provided.

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A GPU-powered real-time analytics storage and query engine.

Robotics with GPU computing

OmniSciDB (formerly MapD Core)

GPU Fluid Simulation with Volumetric Rendering

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

This is a list of useful libraries and resources for CUDA development.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

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Draw new worlds