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

LLVM backend for Accelerate

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Numerical linear algebra software package

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A C++ Cuda Tensor Lazy Computing Library

Domain-invariant Stereo Matching Networks

Execution primitives for C++

A Neural Network Toolkit.

STREAM, for lots of devices written in many programming models

☁️ Volumetric path tracer using cuda

Fast inference engine for OpenNMT models

a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

RAPIDS Memory Manager

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The C++ Standard Library for your entire system.

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.

py-faster-rcnn that can compile on windows directly

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

CUDA-Warp RNN-Transducer

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

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

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

Extension package for spatial propagation network in pytorch.

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

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

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

A structured light scanner

Agenium Scale vectorization library for CPUs and GPUs

JCuda - Java bindings for CUDA

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

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

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

No description or website provided.

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

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

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

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

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

Fully Convolutional Instance-aware Semantic Segmentation

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

oneAPI Math Kernel Library (oneMKL) Interfaces

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

Fast K-Nearest Neighbor search with GPU

A real time optical flow algorithm implemented on GPU

Stream Processing with OCaml

Sparse Optimisation Research Code

CLTune: An automatic OpenCL & CUDA kernel tuner

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

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

Clojure library for CUDA development

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

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