403 Open source projects that are alternatives of or similar to Cuda Convnet

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

cuML - RAPIDS Machine Learning Library

A library for high performance deep learning inference on NVIDIA GPUs.

a reimplementation of Holistically-Nested Edge Detection in PyTorch

Agenium Scale vectorization library for CPUs and GPUs

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

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Haste: a fast, simple, and open RNN library

No description or website provided.

A CUDNN minimal deep learning training code sample using LeNet.

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

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

HIP: C++ Heterogeneous-Compute Interface for Portability

kaldi-asr/kaldi is the official location of the Kaldi project.

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

Fully Convolutional Instance-aware Semantic Segmentation

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

oneAPI Math Kernel Library (oneMKL) Interfaces

Sparse Optimisation Research Code

Fast K-Nearest Neighbor search with GPU

Stream Processing with OCaml

JCuda - Java bindings for CUDA

CLTune: An automatic OpenCL & CUDA kernel tuner

package cu provides an idiomatic interface to the CUDA Driver API.

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

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

Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)

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

CUDA Homomorphic Encryption Library

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

World's fastest and most advanced password recovery utility

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

Chamfer Distance in Pytorch with f-score

Clojure library 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

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

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

A structured light scanner

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

CUDA-accelerated GIS and spatiotemporal algorithms

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda

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.

Real-time dense visual SLAM system

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

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

Image-processing software for cryo-electron microscopy

Explore the Capabilities of the TensorRT Platform

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

Tengine is a lite, high performance, modular inference engine for embedded device

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

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

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