560 Open source projects that are alternatives of or similar to Food101 Coreml

Using Machine Learning to predict the type of exercise from movement data

Build an OCR for iOS apps

Semantic segmentation on iPhone using ESPNetv2

A NSFW (aka porn) detector with CoreML

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

Code examples for training AlexNet using Keras and Theano

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Mongolian speech recognition with PyTorch

PyTorch tutorial for learners

Convolutional Neural Networks for Cardiac Segmentation

A fully convolution-network for speech-to-text, built on pytorch.

Estimate/count FLOPS for a given neural network using pytorch

Keras implementation of video classifier

A Neural Networking library based on NumPy only

Reference caffe implementation of LSUV initialization

实现常用基于深度学习的人脸检测算法

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Repository for Region Ensemble Network based Hand Pose Estimation

Deep Learning in Haskell

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Image Tampering Detection using ELA and CNN

Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

CORe50: a new Dataset and Benchmark for Continual Learning

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Artificial neural network classes and tools in Python and TensorFlow.

Top 200 deep learning Github repositories sorted by the number of stars.

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

pip install antialiased-cnns to improve stability and accuracy

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

Bayes by Backprop implemented in a CNN in PyTorch

Detecting cinema shot types using a ResNet-50

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Automated Driving in NFS using CNN.

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

CVPR2014-Convolutional neural networks for no-reference image quality assessment

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

Code examples for ARKit.

a collection of my notes on deep learning

Face Landmark Detector based on Mobilenet V1

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Finding Tiny Faces in PyTorch

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.