Image ProcessingImage Processing Toolbox in Verilog using Basys3 FPGA
Stars: ✭ 31 (-63.1%)
NumpycnnBuilding Convolutional Neural Networks From Scratch using NumPy
Stars: ✭ 436 (+419.05%)
Sparse Winograd CnnEfficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
Stars: ✭ 156 (+85.71%)
ImagingImaging is a simple image processing package for Go
Stars: ✭ 4,023 (+4689.29%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-51.19%)
Deep PlantDeep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Stars: ✭ 66 (-21.43%)
Age Gender EstimationKeras implementation of a CNN network for age and gender estimation
Stars: ✭ 1,195 (+1322.62%)
Sign LanguageSign Language Recognition for Deaf People
Stars: ✭ 65 (-22.62%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-4.76%)
PyspeechrevThis python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.
Stars: ✭ 74 (-11.9%)
Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
Stars: ✭ 64 (-23.81%)
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Stars: ✭ 67 (-20.24%)
GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-22.62%)
J1scA reimplementation of a tiny stack CPU
Stars: ✭ 64 (-23.81%)
Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Stars: ✭ 1,237 (+1372.62%)
Deep RankingLearning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Stars: ✭ 64 (-23.81%)
ScidartMultiplatform scientific computing for Dart
Stars: ✭ 73 (-13.1%)
Tf eeglearnA tensorflow implementation for EEGLearn
Stars: ✭ 64 (-23.81%)
MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Stars: ✭ 1,110 (+1221.43%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-5.95%)
CoordconvPytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
Stars: ✭ 72 (-14.29%)
Cnn graphConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Stars: ✭ 1,110 (+1221.43%)
Equivariant Transformers Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
Stars: ✭ 68 (-19.05%)
Wav2letterSpeech Recognition model based off of FAIR research paper built using Pytorch.
Stars: ✭ 78 (-7.14%)
Nova Advanced Image Field🌄📐 A Laravel Nova advanced image field with cropping and resizing using Cropper.js and Intervention Image
Stars: ✭ 67 (-20.24%)
SketchcnnRobust freeform surface modeling from user 2d sketches.
Stars: ✭ 66 (-21.43%)
Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
Stars: ✭ 66 (-21.43%)
Facial Expression RecognitionClassify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
Stars: ✭ 82 (-2.38%)
GcommandspytorchConvNets for Audio Recognition using Google Commands Dataset
Stars: ✭ 65 (-22.62%)
ZynqbtcA Bitcoin miner for the Zynq chip utilizing the Zedboard.
Stars: ✭ 74 (-11.9%)
EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-3.57%)
Fft Conv PytorchImplementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Stars: ✭ 65 (-22.62%)
Deep Atrous Cnn SentimentDeep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
Stars: ✭ 64 (-23.81%)
TnnBiologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-1.19%)
Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Stars: ✭ 74 (-11.9%)
PytsetlinmachineImplements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing
Stars: ✭ 80 (-4.76%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (+1233.33%)
DidnPytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
Stars: ✭ 61 (-27.38%)
Q2727-Queens Puzzle: Massively Parellel Enumeration and Solution Counting
Stars: ✭ 60 (-28.57%)
Roadway intelVehicle make and model classification in Tensorflow by fine-tuning VGG16
Stars: ✭ 60 (-28.57%)
FeathercnnFeatherCNN is a high performance inference engine for convolutional neural networks.
Stars: ✭ 1,106 (+1216.67%)
Docker Nginx Image Proxyon the fly image cropping with gravity, resize and compression microservice
Stars: ✭ 79 (-5.95%)
IconhandlerTint you Icons, change the size, apply alpha color and set a position easily. 👓
Stars: ✭ 59 (-29.76%)
Feel The KernGenerating proportional fonts with deep learning
Stars: ✭ 59 (-29.76%)
Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-19.05%)