Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
Stars: ✭ 222 (+126.53%)
Pytorch BayesiancnnBayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Stars: ✭ 779 (+694.9%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Label Reg(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
Stars: ✭ 91 (-7.14%)
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 (-16.33%)
ProbflowA Python package for building Bayesian models with TensorFlow or PyTorch
Stars: ✭ 95 (-3.06%)
AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Stars: ✭ 80 (-18.37%)
ParamonteParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Stars: ✭ 88 (-10.2%)
ProjpredProjection predictive variable selection
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Core50CORe50: a new Dataset and Benchmark for Continual Learning
Stars: ✭ 91 (-7.14%)
Fashion MnistA MNIST-like fashion product database. Benchmark 👇
Stars: ✭ 9,675 (+9772.45%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+1223.47%)
CnniqaCVPR2014-Convolutional neural networks for no-reference image quality assessment
Stars: ✭ 96 (-2.04%)
EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-17.35%)
Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Stars: ✭ 78 (-20.41%)
Capsnet PytorchMy attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules
Stars: ✭ 87 (-11.22%)
Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Stars: ✭ 74 (-24.49%)
Incremental LearningPytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Stars: ✭ 92 (-6.12%)
Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
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NimbleThe base NIMBLE package for R
Stars: ✭ 95 (-3.06%)
Pumas.jlPharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning
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Pynq DlXilinx Deep Learning IP
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DynareThis project has moved to https://git.dynare.org/Dynare/dynare
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TnnBiologically-realistic recurrent convolutional neural networks
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Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
Stars: ✭ 1,300 (+1226.53%)
Bat.jlA Bayesian Analysis Toolkit in Julia
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MxfusionModular Probabilistic Programming on MXNet
Stars: ✭ 95 (-3.06%)
Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Stars: ✭ 1,237 (+1162.24%)
KerasrR interface to the keras library
Stars: ✭ 90 (-8.16%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-8.16%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-18.37%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-19.39%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-10.2%)
Wav2letterSpeech Recognition model based off of FAIR research paper built using Pytorch.
Stars: ✭ 78 (-20.41%)
InferInfer.NET is a framework for running Bayesian inference in graphical models
Stars: ✭ 1,340 (+1267.35%)
BayesloopProbabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Stars: ✭ 87 (-11.22%)
Age Gender EstimationKeras implementation of a CNN network for age and gender estimation
Stars: ✭ 1,195 (+1119.39%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (+1241.84%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-1.02%)
GrenadeDeep Learning in Haskell
Stars: ✭ 1,338 (+1265.31%)