518 Open source projects that are alternatives of or similar to Tigre

Tomographic Reconstruction in Python

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

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

No description or website provided.

JCuda - Java bindings for CUDA

A collection of useful Python tools

Build and run Docker containers leveraging NVIDIA GPUs

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

Execution primitives for C++

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py-faster-rcnn that can compile on windows directly

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

C++ Code to run waveglow inference in cuda

🕺Fast Integrated Development Environment 😻

CUDA-Warp RNN-Transducer

Clojure library for CUDA development

STREAM, for lots of devices written in many programming models

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

Dense Matching Benchmark

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

cuML - RAPIDS Machine Learning Library

A C++ Cuda Tensor Lazy Computing Library

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

CLTune: An automatic OpenCL & CUDA kernel tuner

Haste: a fast, simple, and open RNN library

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

Domain-invariant Stereo Matching Networks

🐃 Yet another toolbox of Python 3 helper functions.

Build userspace NVMe drivers and storage applications with CUDA support

💥💻💥 A data-parallel functional programming language

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.

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

Self-hosted NVR with object detection

Numerical linear algebra software package

DaCe - Data Centric Parallel Programming

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

evaluation toolbox for salient object detection

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

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

PyTorch based Deep Learning Toolbox

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

☁️ Volumetric path tracer using cuda

Attempt to recreate a blender like toolbox in Qt

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

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

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

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):

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

SDK for GPU accelerated genome assembly and analysis

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

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

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

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