AulasAulas da Escola de Inteligência Artificial de São Paulo
Stars: ✭ 166 (-84.99%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (+180.2%)
Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (-75.05%)
StarnetStarNet
Stars: ✭ 141 (-87.25%)
Shapematchinggan[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN
Stars: ✭ 315 (-71.52%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-32.37%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (-84.36%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-87.52%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-67.45%)
GansGenerative Adversarial Networks implemented in PyTorch and Tensorflow
Stars: ✭ 714 (-35.44%)
AsrgenAttacking Speaker Recognition with Deep Generative Models
Stars: ✭ 31 (-97.2%)
Big Mac DataData and methodology for the Big Mac index
Stars: ✭ 1,095 (-0.99%)
Deej A.i.Create automatic playlists by using Deep Learning to *listen* to the music
Stars: ✭ 57 (-94.85%)
Pyspark ExamplesCode examples on Apache Spark using python
Stars: ✭ 58 (-94.76%)
Home price estimatorUses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.
Stars: ✭ 59 (-94.67%)
MlkatasA series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills
Stars: ✭ 58 (-94.76%)
Regex In PythonA comprehensive guide for learning regular expressions using Python
Stars: ✭ 58 (-94.76%)
Mind2020 MIND news recomendation first place solution
Stars: ✭ 59 (-94.67%)
Darter🕵️ Dart / Flutter VM snapshot analyzer
Stars: ✭ 57 (-94.85%)
Deep learning bootcampAll the learning material for deep learning bootcamp can be found in this repository
Stars: ✭ 58 (-94.76%)
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"
Stars: ✭ 59 (-94.67%)
C3dC3D is a modified version of BVLC caffe to support 3D ConvNets.
Stars: ✭ 1,097 (-0.81%)
Ssd kerasPort of Single Shot MultiBox Detector to Keras
Stars: ✭ 1,101 (-0.45%)
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Stars: ✭ 1,097 (-0.81%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-94.67%)
Jupyter RiseAuto-launching the RISE plugin for Binder presentations.
Stars: ✭ 58 (-94.76%)
Louplus Ml实验楼 《楼+ 机器学习实战》课程挑战作业参考答案 https://www.shiyanlou.com/louplus/ml
Stars: ✭ 58 (-94.76%)
StylistFast artistic style transfer with convolutional neural networks.
Stars: ✭ 59 (-94.67%)
PostsA repository for code accompanying my Medium posts.
Stars: ✭ 57 (-94.85%)
Ia4businessCurso de Inteligencia Artificial aplicada a Negocios y Empresas
Stars: ✭ 59 (-94.67%)
Modellogger.github.ioModel-Logger is a Python library for storing model's profile and rapid inter model comparison.
Stars: ✭ 58 (-94.76%)
GpclustCollapsed Variational Bayes
Stars: ✭ 58 (-94.76%)
Data Science At ScaleA Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
Stars: ✭ 58 (-94.76%)
FeedinlibThis repository contains implementations of photovoltaic models to calculate electricity generation from a pv installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.
Stars: ✭ 59 (-94.67%)
IocamljsAn OCaml javascript kernel for the IPython notebook
Stars: ✭ 57 (-94.85%)
Learn🏭 Education resources for Chemical and Process Engineering written in Python
Stars: ✭ 57 (-94.85%)
AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Stars: ✭ 1,095 (-0.99%)
RastermapA multi-dimensional embedding algorithm
Stars: ✭ 58 (-94.76%)
Magenta DemosDemonstrations of Magenta Models
Stars: ✭ 1,093 (-1.18%)
Vehicle DetectionVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Stars: ✭ 1,093 (-1.18%)
Apparel StylesDeep Learning to Describe Clothing by Semantic Attributes
Stars: ✭ 58 (-94.76%)
GendisContains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
Stars: ✭ 59 (-94.67%)
Cloudml MagicJupyter Notebook Magics for Google Cloud ML Engine
Stars: ✭ 58 (-94.76%)
Rbf NetworkMinimal implementation of a radial basis function network.
Stars: ✭ 57 (-94.85%)
Carnd Advanced Lane LinesMy solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.
Stars: ✭ 57 (-94.85%)