Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (+1023.08%)
probabilistic nlgTensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Stars: ✭ 28 (-28.21%)
viabelEfficient, lightweight variational inference and approximation bounds
Stars: ✭ 27 (-30.77%)
Face-LandmarkingReal time face landmarking using decision trees and NN autoencoders
Stars: ✭ 73 (+87.18%)
Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
Stars: ✭ 796 (+1941.03%)
pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
Stars: ✭ 162 (+315.38%)
AE-CNNICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset
Stars: ✭ 33 (-15.38%)
GansformerGenerative Adversarial Transformers
Stars: ✭ 421 (+979.49%)
ccubeBayesian mixture models for estimating and clustering cancer cell fractions
Stars: ✭ 23 (-41.03%)
gridderA Grid based 2D Graphics library
Stars: ✭ 51 (+30.77%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-64.1%)
GnuPlotA PHP Library for using GnuPlot
Stars: ✭ 26 (-33.33%)
seeing-without-lookingPyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization
Stars: ✭ 28 (-28.21%)
vireoDemultiplexing pooled scRNA-seq data with or without genotype reference
Stars: ✭ 34 (-12.82%)
Probabilistic unetA U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Stars: ✭ 427 (+994.87%)
unicornnOfficial code for UnICORNN (ICML 2021)
Stars: ✭ 21 (-46.15%)
HugsVisionHugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: ✭ 154 (+294.87%)
roboinstruct-1A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution
Stars: ✭ 71 (+82.05%)
tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
Stars: ✭ 86 (+120.51%)
sldm4-h2oStatistical Learning & Data Mining IV - H2O Presenation & Tutorial
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POPQORNAn Algorithm to Quantify Robustness of Recurrent Neural Networks
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AutoencodersTorch implementations of various types of autoencoders
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AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
Stars: ✭ 21 (-46.15%)
DRAWDRAW: The Dart Reddit API Wrapper
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PyroDeep universal probabilistic programming with Python and PyTorch
Stars: ✭ 7,224 (+18423.08%)
eForestThis is the official implementation for the paper 'AutoEncoder by Forest'
Stars: ✭ 71 (+82.05%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-56.41%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+10469.23%)
LSTM-footballMatchWinnerThis repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote
Stars: ✭ 44 (+12.82%)
abae-pytorchPyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
Stars: ✭ 52 (+33.33%)
normalizing-flowsPyTorch implementation of normalizing flow models
Stars: ✭ 271 (+594.87%)
ai-visual-storytelling-seq2seqImplementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
Stars: ✭ 50 (+28.21%)
svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
Stars: ✭ 38 (-2.56%)
CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Stars: ✭ 13 (-66.67%)
phaser3-plugin-pathbuilderDraw and edit Lines, Bezier Curves, Splines at runtime, explore your scene and export your paths to Phaser
Stars: ✭ 67 (+71.79%)
Deepsvg[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Stars: ✭ 403 (+933.33%)
netsDraw your net
Stars: ✭ 49 (+25.64%)
time-series-autoencoder📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈
Stars: ✭ 198 (+407.69%)
Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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VisualMLInteractive Visual Machine Learning Demos.
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Carrot🥕 Evolutionary Neural Networks in JavaScript
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pgfplotspgfplots - A TeX package to draw normal and/or logarithmic plots directly in TeX in two and three dimensions with a user-friendly interface and pgfplotstable - a TeX package to round and format numerical tables. Examples in manuals and/or on web site.
Stars: ✭ 119 (+205.13%)
rnn-from-scratchA Recurrent Neural Network implemented from scratch (using only numpy) in Python.
Stars: ✭ 62 (+58.97%)
Reinvent RandomizedRecurrent Neural Network using randomized SMILES strings to generate molecules
Stars: ✭ 39 (+0%)
ShapeviewDraw your shapes without a sweat
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SharpmathA small .NET math library.
Stars: ✭ 36 (-7.69%)