6154 Open source projects that are alternatives of or similar to Ios Coreml Mnist

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Build an OCR for iOS apps

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

Human Activity Recognition (HAR) with Keras and CoreML

Deep learning installed Shape Detector using Keras and CoreML 📱

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

Early stopping for PyTorch

Predict handwritten digits with CoreML

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Six snippets of code that made deep learning what it is today.

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

Simple Implementation of many GAN models with PyTorch.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

PyTorch tutorials A to Z

Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Source code for my blog post series "On-device training with Core ML"

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

The implementation of Relativistic average GAN with Keras

Deep Learning From Scratch

Re-implementation of VGG Network in tensorflow

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

Allstate Kaggle Competition ML Capstone Project

Introduction to Statistical Learning with R을 Python으로

visJS2jupyter is a tool to bring the interactivity of networks created with vis.js into jupyter notebook cells

《Python 学习手册》（第四版 + 第五版）笔记

CS231n Convolutional Neural Networks for Visual Recognition (winter 2016) - Assignments

Source for my Pythonic Perambulations blog

This repository contains training material related to Azure and Machine Learning

Classification schemes for choropleth mapping.

2018年全国大学生计算机应用能力大赛之住房月租金预测第一名代码

Training a decision tree to predict diseases from symptoms.

A PyData workshop on pandas

Structured Bayesian Pruning, NIPS 2017

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

The dataset is used to train my own raccoon detector and I blogged about it on Medium

A collection of Machine Learning algorithms written from sctrach.

tutorials made for biologists to learn deep learning

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

Notes and solutions for the Mathematics for Machine Learning Specialization

Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

Experiments in positive-unlabeled learning

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.

strategy 101 从今天开始 逐步开放101个基础策略的QA实现 包含5个大类

Tutorial on how to make a choropleth map using Geopandas and Matplotlib in Python.

Plotnine replication of Financial Times Visual Vocabulary; Inspired by Vega

Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.

Reinforcement Learning Workshop for Data Science BKK

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This content is analysis and research of the data sources currently listed in ATT&CK.

En este repositorio encontraras todo relacionado con python, desde definiciones básicas hasta Machine Learning y un poco de Data Science, este repositorio contiene todo lo que e aprendido acerca de python, espero lo disfrutes.

Added repo for PyData LA 2018 tutorial

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