TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
Stars: ✭ 126 (+740%)
vae-pytorchAE and VAE Playground in PyTorch
Stars: ✭ 53 (+253.33%)
Tensorflow Mnist VaeTensorflow implementation of variational auto-encoder for MNIST
Stars: ✭ 422 (+2713.33%)
haskell-vaeLearning about Haskell with Variational Autoencoders
Stars: ✭ 18 (+20%)
CodeslamImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Stars: ✭ 64 (+326.67%)
SmrtHandle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Stars: ✭ 102 (+580%)
AutoEncodersVariational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
Stars: ✭ 14 (-6.67%)
snorkelingExtracting biomedical relationships from literature with Snorkel 🏊
Stars: ✭ 56 (+273.33%)
NeurecNext RecSys Library
Stars: ✭ 731 (+4773.33%)
Tensorflow Mnist CvaeTensorflow implementation of conditional variational auto-encoder for MNIST
Stars: ✭ 139 (+826.67%)
Multi PlierAn unsupervised transfer learning approach for rare disease transcriptomics
Stars: ✭ 33 (+120%)
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (+706.67%)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+7386.67%)
DapsDenoising Autoencoders for Phenotype Stratification
Stars: ✭ 39 (+160%)
PancancerBuilding classifiers using cancer transcriptomes across 33 different cancer-types
Stars: ✭ 84 (+460%)
audio-analysisThe audio analysis code (AnalysisPrograms.exe) for the QUT Ecoacoustics Research Group
Stars: ✭ 41 (+173.33%)
seapyState Estimation and Analysis in Python
Stars: ✭ 25 (+66.67%)
catseyeNeural network library written in C and Javascript
Stars: ✭ 29 (+93.33%)
CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Stars: ✭ 16 (+6.67%)
quackleQuackle crossword game artificial intelligence and analysis tool
Stars: ✭ 126 (+740%)
STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Stars: ✭ 39 (+160%)
mauiMulti-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
Stars: ✭ 42 (+180%)
iOScanXiOScanX (iOS Application Scanner for OS X) is a Cocoa application for semi-automated iOS app analysis and evaluation
Stars: ✭ 33 (+120%)
VesselVioVesselVio is an open-source application for the analysis and visualization of segmented vasculature datasets
Stars: ✭ 45 (+200%)
constybleCSS complexity linter
Stars: ✭ 92 (+513.33%)
particlePackage to deal with particles, the PDG particle data table, PDGIDs, etc.
Stars: ✭ 113 (+653.33%)
Vol3xpVolatility Explorer Suit
Stars: ✭ 31 (+106.67%)
autoencoder for physical layerThis is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
Stars: ✭ 43 (+186.67%)
cerberus researchResearch tools for analysing Cerberus banking trojan.
Stars: ✭ 110 (+633.33%)
sp-metadata🔬 SharePoint Metadata Tracker
Stars: ✭ 12 (-20%)
bug-bountyMy personal bug bounty toolkit.
Stars: ✭ 127 (+746.67%)
seq3Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
Stars: ✭ 121 (+706.67%)
handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+1800%)
VisualMLInteractive Visual Machine Learning Demos.
Stars: ✭ 104 (+593.33%)
raBasic Analysis, undergraduate real analysis textbook
Stars: ✭ 33 (+120%)
UnROOT.jlNative Julia I/O package to work with CERN ROOT files
Stars: ✭ 52 (+246.67%)
graphstoreFast in-memory graph structure, powering Gephi
Stars: ✭ 64 (+326.67%)
Roassal2Agile Visualization Engine for Pharo and VisualWorks
Stars: ✭ 23 (+53.33%)
linguistic-style-transfer-pytorchImplementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Stars: ✭ 55 (+266.67%)
Bitcoin Analysis-Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it f…
Stars: ✭ 42 (+180%)
character-extractionExtracts character names from a text file and performs analysis of text sentences containing the names.
Stars: ✭ 40 (+166.67%)
adVAEImplementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Stars: ✭ 17 (+13.33%)
WELAWELA (Windows Event Log Analyzer): The Swiss Army knife for Windows Event Logs! ゑ羅(ウェラ)
Stars: ✭ 442 (+2846.67%)
pandapower guiA Graphical User Interface for the open source pandapower load flow program. [ I was so inexperienced when I started this, but maybe we can try again]
Stars: ✭ 28 (+86.67%)
sandboxSimple Windows Sandbox Configuration
Stars: ✭ 37 (+146.67%)
continuous BernoulliThere are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
Stars: ✭ 22 (+46.67%)
GroupDocs.Classification-for-.NETGroupDocs.Classification-for-.NET samples and showcase (text and documents classification and sentiment analysis)
Stars: ✭ 38 (+153.33%)
SESF-FuseSESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Stars: ✭ 47 (+213.33%)
autoencoders tensorflowAutomatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Stars: ✭ 66 (+340%)