403 Open source projects that are alternatives of or similar to Cuda_freshman

A structured light scanner

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

Agenium Scale vectorization library for CPUs and GPUs

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

JCuda - Java bindings for CUDA

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

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

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

Real-time dense visual SLAM system

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

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

No description or website provided.

A fast and highly scalable GPU dynamic memory allocator

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

Deep learning with cats (^._.^)

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

Weighted MinHash implementation on CUDA (multi-gpu).

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

custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

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

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

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

HPC solver for nonlinear optimization problems

Fully Convolutional Instance-aware Semantic Segmentation

A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.

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

CURRENNNT codes and scripts

oneAPI Math Kernel Library (oneMKL) Interfaces

Efficient reservoir sampling implementation for PyTorch

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

Tutorial on how to build your own research envirorment for Deep Learning with OpenCV, Python, Tensorfow

Fast K-Nearest Neighbor search with GPU

Gradient Boosting powered by GPU(NVIDIA CUDA)

A real time optical flow algorithm implemented on GPU

GPU-Suite

Stream Processing with OCaml

CUDA Templates for Linear Algebra Subroutines

Sparse Optimisation Research Code

GPU Accelerated t-SNE for CUDA with Python bindings

CLTune: An automatic OpenCL & CUDA kernel tuner

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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

Simulating on GPU using Material Point Method and rendering.

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

OptiX Path Tracer

Clojure library for CUDA development

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

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

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

NCCL Tests

🐜 A CUDA based miner for Monero

[ARCHIVED] C GPU DataFrame Library