714 Open source projects that are alternatives of or similar to gan_tensorflow

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

A miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.

Implementation of VLAE

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Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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Flexible time series feature extraction & processing

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Features selector based on the self selected-algorithm, loss function and validation method

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This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Fast k-Nearest Neighbors Classifier for Large Datasets

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

A schema-aware Scala library for data transformation

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PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

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This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

Invariant Superpixel Features for Object Detection

The Munich Open-Source Large-Scale Multimedia Feature Extractor

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Package for automatic beat-mixing of music files in Python 🐻🎚

Simple code implement the paper of CartoonGAN(CVPR2018)

Profiling and Deanonymizing Ethereum Users

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

AntroPy: entropy and complexity of (EEG) time-series in Python

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Pytorch implementation of BicycleGAN with implementation details

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Feature extraction of speech signal is the initial stage of any speech recognition system.

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Icicle Streaming Query Language

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

ezSIFT: An easy-to-use standalone SIFT library written in C/C++

Simple GAN example using tensorflow JS core

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A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation