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llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

mitk

The Medical Imaging Interaction Toolkit.

mitk-diffusion

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

mitk-gem

MITK - Generate Models (MITK-GEM) is a free open-source software pipeline to generate finite element models from image data.

mmcv

OpenMMLab Computer Vision Foundation

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

nlp-intent-toolkit

Intent recognition with OpenNLP

nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

onnx

Open standard for machine learning interoperability

onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

open64

open64 compiler

opengl

OpenGL 3 and 4 with GLSL

openni

OpenNI

opennlp

Mirror of Apache OpenNLP

paddle-lite

Multi-platform high performance deep learning inference engine (飞桨多端多平台高性能深度学习推理引擎）

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

par4all

Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs

pcl

Point Cloud Library (PCL)

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pytorch-mask-rcnn

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_refinenet

Pytorch Implementation of Refinenet

refinenet-pytorch

RefineNet-101 VOC in PyTorch

ros

Core ROS packages