Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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Artificial Intelligence Deep Learning Machine Learning TutorialsA comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
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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
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Sign LanguageSign Language Recognition for Deaf People
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Allstate capstoneAllstate Kaggle Competition ML Capstone Project
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Wav2letterSpeech Recognition model based off of FAIR research paper built using Pytorch.
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Home Credit Default RiskDefault risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
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FeathercnnFeatherCNN is a high performance inference engine for convolutional neural networks.
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
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Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
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Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
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PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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Cnn graphConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Keras model compressionModel Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
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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')
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Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
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Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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GcommandspytorchConvNets for Audio Recognition using Google Commands Dataset
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Age Gender EstimationKeras implementation of a CNN network for age and gender estimation
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SeranetSuper Resolution of picture images using deep learning
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Deep Atrous Cnn SentimentDeep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
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Tf eeglearnA tensorflow implementation for EEGLearn
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MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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DidnPytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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Roadway intelVehicle make and model classification in Tensorflow by fine-tuning VGG16
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Feel The KernGenerating proportional fonts with deep learning
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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
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Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
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Fraud DetectionCredit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
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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.
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Mtlnas[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
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EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
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Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
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SketchcnnRobust freeform surface modeling from user 2d sketches.
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Eeg classificationEEG Sleep stage classification using CNN with Keras
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MlboxMLBox is a powerful Automated Machine Learning python library.
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Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
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Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
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Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
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