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eForestThis is the official implementation for the paper 'AutoEncoder by Forest'
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util封装了一些Java常用的功能
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VisualMLInteractive Visual Machine Learning Demos.
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topological-autoencodersCode for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
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probabilistic nlgTensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
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goscoreGo Scoring API for PMML
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ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
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Video-Compression-NetA new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole…
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RobustTrees[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
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multi-imbalancePython package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
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interpretable-mlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
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Unsupervised Deep LearningUnsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
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autoencoders tensorflowAutomatic feature engineering using deep learning and Bayesian inference using TensorFlow.
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mauiMulti-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
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Voice4RuralA complete one stop solution for all the problems of Rural area people. 👩🏻🌾
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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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supervised-machine-learningThis repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…
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SESF-FuseSESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
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badsvThe official BaDSV specification and CLI. Ascend from your puny DSV files!
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peaxPeax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
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yggdrasil-decision-forestsA collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
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rfvisA tool for visualizing the structure and performance of Random Forests 🌳
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Variations-of-SFANet-for-Crowd-CountingThe official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
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MachineLearningImplementations of machine learning algorithm by Python 3
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Image-RetrievalImage retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.
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GATEThe implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"
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GROOT[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html
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pixel-decoderA tool for running deep learning algorithms for semantic segmentation with satellite imagery
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dflowA lightweight library for designing and executing workflows in .NET Core
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catseyeNeural network library written in C and Javascript
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dltfHands-on in-person workshop for Deep Learning with TensorFlow
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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stackgbm🌳 Stacked Gradient Boosting Machines
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tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
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seq3Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
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recurrent-decoding-cell[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)
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MidcurveNNComputation of Midcurve of Thin Polygons using Neural Networks
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jzonA correct and safe JSON parser.
Stars: ✭ 78 (+254.55%)
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 (+95.45%)