403 Open source projects that are alternatives of or similar to Pytorch Hed

RAPIDS Memory Manager

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

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

A dataset of 15 million CAD sketches with geometric constraint graphs.

Self-hosted NVR with object detection

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

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

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

Build userspace NVMe drivers and storage applications with CUDA support

Deforming kernels to adapt towards object deformation. In ICLR 2020.

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

A simple GPU hash table implemented in CUDA using lock free techniques

NCCL Tests

SDK for GPU accelerated genome assembly and analysis

A Neural Network Toolkit.

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

🐜 A CUDA based miner for Monero

an implementation of softmax splatting for differentiable forward warping using PyTorch

Domain-invariant Stereo Matching Networks

Examples of C# code compiled to GPU by hybridizer

Numerical linear algebra software package

Distributed multigrid linear solver library on GPU

☁️ Volumetric path tracer using cuda

Burstcoin C++ CPU and GPU Miner

Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

A C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Sparse Optimisation Research Code

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

JCuda - Java bindings for CUDA

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Haste: a fast, simple, and open RNN library

Clojure library for CUDA development

a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

A structured light scanner

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

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Build and run Docker containers leveraging NVIDIA GPUs

A binary library for very fast face detection using compact CNNs.

HIP: C++ Heterogeneous-Compute Interface for Portability

cuML - RAPIDS Machine Learning Library

CNN accelerated by cuda. Test on mnist and finilly get 99.76%

Image-processing software for cryo-electron microscopy

A real time optical flow algorithm implemented on GPU

gmonitor is a GPU monitor (Nvidia only at the moment)

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

Robotics with GPU computing

DeepSpeech neon implementation

Super simple & easy Windows 10 cryptocurrency miner made by NiceHash.

OneFlow is a performance-centered and open-source deep learning framework.

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch