963 Open source projects that are alternatives of or similar to Deepfashion

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Code for Java Deep Learning Cookbook

Code for Tensorflow Machine Learning Cookbook

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Measure and visualize machine learning model performance without the usual boilerplate.

food image to recipe with deep convolutional neural networks.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Scala Library/REPL for Machine Learning Research

A collection of tools for chemometrics and machine learning written in Julia.

Julia package of loss functions for machine learning.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

LAMA - automatic model creation framework

Curated Tensorflow code resources to help you get started with Deep Learning.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Examples use case of PHP-ML library.

mlr3: Machine Learning in R - next generation

An Interactive Approach to Understanding Deep Learning with Keras

A Julia machine learning framework

Multi-class confusion matrix library in Python

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

机器学习与深度学习算法示例

Machine Learning in R

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Code and Resources for "Applied Machine Learning"

Artificial Neural Network

An open-source, low-code machine learning library in Python

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

All Algorithms implemented in R

🤖 A portable, header-only, artificial neural network library written in C99

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Statistical Machine Intelligence & Learning Engine

Holistically-Nested Edge Detection

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Service Classification based on Service Description

Yet another neural network library

Tribuo - A Java machine learning library

PHP-ML - Machine Learning library for PHP

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Simple machine learning library / 簡單易用的機器學習套件

A high-level machine learning and deep learning library for the PHP language.

《深度学习与计算机视觉》配套代码

ThunderSVM: A Fast SVM Library on GPUs and CPUs

R package to interface with OpenML

GPstuff - Gaussian process models for Bayesian analysis

Artificial Neural Networks for Scala

This repository consists of all my Machine Learning Projects.

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Comparison tools

IPython widgets, interactive plots, interactive machine learning

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Various methods for generating synthetic data for data science and ML

Minimalistic Multiple Layer Neural Network from Scratch in Python.

MLBox is a powerful Automated Machine Learning python library.

Deep neural network to extract intelligent information from invoice documents.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Collection of stats, modeling, and data science tools in Python and R.