Tf2An Open Source Deep Learning Inference Engine Based on FPGA
Stars: ✭ 113 (-9.6%)
Pointclouddatasets3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
Stars: ✭ 80 (-36%)
Pytorch FcnPyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 1,351 (+980.8%)
QrackComprehensive, GPU accelerated framework for developing universal virtual quantum processors
Stars: ✭ 79 (-36.8%)
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (-19.2%)
LitivC++ implementation pool for computer vision R&D projects.
Stars: ✭ 82 (-34.4%)
Setr PytorchRethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Stars: ✭ 96 (-23.2%)
CekirdeklerMulti-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).
Stars: ✭ 76 (-39.2%)
MasktrackImplementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch
Stars: ✭ 110 (-12%)
ComputeA C++ GPU Computing Library for OpenCL
Stars: ✭ 1,192 (+853.6%)
Retina FeaturesProject for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
Stars: ✭ 95 (-24%)
ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-43.2%)
BabelstreamSTREAM, for lots of devices written in many programming models
Stars: ✭ 121 (-3.2%)
Deep SegmentationCNNs for semantic segmentation using Keras library
Stars: ✭ 69 (-44.8%)
Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Stars: ✭ 94 (-24.8%)
Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
Stars: ✭ 67 (-46.4%)
Torch Points3dPytorch framework for doing deep learning on point clouds.
Stars: ✭ 1,135 (+808%)
Autodock GpuAutoDock for GPUs and other accelerators
Stars: ✭ 65 (-48%)
MotsfusionMOTSFusion: Track to Reconstruct and Reconstruct to Track
Stars: ✭ 118 (-5.6%)
Geniepath PytorchThis is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
Stars: ✭ 63 (-49.6%)
KnlmeansclAn optimized OpenCL implementation of the Non-local means de-noising algorithm
Stars: ✭ 92 (-26.4%)
Tensorflow FcnAn Implementation of Fully Convolutional Networks in Tensorflow.
Stars: ✭ 1,116 (+792.8%)
HashcatWorld's fastest and most advanced password recovery utility
Stars: ✭ 11,014 (+8711.2%)
Opencv MtcnnAn implementation of MTCNN Face detector using OpenCV's DNN module
Stars: ✭ 59 (-52.8%)
ChangepointA place for the development version of the changepoint package on CRAN.
Stars: ✭ 90 (-28%)
Unet 3d3D Unet Equipped with Advanced Deep Learning Methods
Stars: ✭ 57 (-54.4%)
SyntokText tokenization and sentence segmentation (segtok v2)
Stars: ✭ 123 (-1.6%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-58.4%)
SemanticsegmentationA framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Stars: ✭ 52 (-58.4%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-60.8%)
Gd UapGeneralized Data-free Universal Adversarial Perturbations
Stars: ✭ 50 (-60%)
Dstl unetDstl Satellite Imagery Feature Detection
Stars: ✭ 117 (-6.4%)
Switchnorm segmentationSwitchable Normalization for semantic image segmentation and scene parsing.
Stars: ✭ 47 (-62.4%)
Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Stars: ✭ 1,276 (+920.8%)
MeshcnnConvolutional Neural Network for 3D meshes in PyTorch
Stars: ✭ 1,032 (+725.6%)
GacnetPytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
Stars: ✭ 103 (-17.6%)
VgnDeep Vessel Segmentation by Learning Graphical Connectivity
Stars: ✭ 46 (-63.2%)
Brats17Patch-based 3D U-Net for brain tumor segmentation
Stars: ✭ 85 (-32%)
Senpai 💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱
Stars: ✭ 43 (-65.6%)
Multi object datasetsMulti-object image datasets with ground-truth segmentation masks and generative factors.
Stars: ✭ 121 (-3.2%)
Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
Stars: ✭ 43 (-65.6%)
Crfasrnn pytorchCRF-RNN PyTorch version http://crfasrnn.torr.vision
Stars: ✭ 102 (-18.4%)
Soul EnginePhysically based renderer and simulation engine for real-time applications.
Stars: ✭ 37 (-70.4%)
NsgminerNeoScrypt OpenCL GPU Miner
Stars: ✭ 84 (-32.8%)
OpenclpapersA Collection of Articles and other OpenCL Papers
Stars: ✭ 37 (-70.4%)
SpocStream Processing with OCaml
Stars: ✭ 115 (-8%)
SpvgentwoSpvGenTwo is a SPIR-V building and parsing library written in plain C++17 without any dependencies. No STL or other 3rd-Party library needed.
Stars: ✭ 74 (-40.8%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-0.8%)
OpenvehiclevisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
Stars: ✭ 120 (-4%)
CltuneCLTune: An automatic OpenCL & CUDA kernel tuner
Stars: ✭ 114 (-8.8%)