6246 Open source projects that are alternatives of or similar to Keras Openface

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.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

tf-openpose Based iOS Project

Build an OCR for iOS apps

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Deep learning installed Shape Detector using Keras and CoreML 📱

Understanding facial beauty with deep learning.

PyTorch tutorial for learners

I checked the performance by running PoseNet on CoreML

Human Activity Recognition (HAR) with Keras and CoreML

Pytorch implementation of the DeepDream computer vision algorithm

Oriented Response Networks, in CVPR 2017

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

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Face Landmark Detector based on Mobilenet V1

Visualizer for neural network, deep learning, and machine learning models

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

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Torch7 -> CoreML

The 3rd edition of course.fast.ai

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

code for deep learning courses

Person Re-ranking (CVPR 2017)

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Ways of doing Data Science Engineering and Machine Learning in R and Python

Abuse of Google Colab for cracking hashes. 🐧

Deep Learning (with PyTorch)

Models and code related to sketch simplification of rough sketches.

DeepLearning.ai课程学习Jupyter Notebook作业

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

A collection of deep learning tutorials using Tensorflow and Python

全栈数据工程师养成攻略

Working with and analyzing Wikipedia Data

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

A Jupyter notebook viewer for macOS

Notebooks for learning deep learning

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Music recommender using deep learning with Keras and TensorFlow

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Hands-On Reinforcement Learning with Python, published by Packt

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Machine learning for transportation data imputation and prediction.

Digital Signal Processing - Theory and Computational Examples

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

基于深度学习的开源中文关系抽取框架