751 Open source projects that are alternatives of or similar to Seefood

Largest list of models for Core ML (for iOS 11+)

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

👨🏻‍💻 Examples of new iOS 11 APIs

A demo of creating your own CoreML model

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

A simple demo for Core ML

A simple demo for Core ML and Style Transfer

Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

A Big Awesome List CoreML Models.

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Core ML demo app with Unsplash API

Collection of samples and demos of features introduced in iOS 11

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

Python REST API to detect images with adult content

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

Everything we actually know about the Apple Neural Engine (ANE)

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Tensorflow Implementation of Yahoo's Open NSFW Model

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Implementation of Bottleneck Transformer in Pytorch

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

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

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

Brevitas: quantization-aware training in PyTorch

Deep networks for Earth Observation

Caffe for Sparse and Low-rank Deep Neural Networks

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

No dependency caffe replacement

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

RMDL: Random Multimodel Deep Learning for Classification

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

🍎 My own face recognition with deep neural networks.

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

Deep Learning Computer Vision Algorithms for Real-World Use

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

A real-time object detection framework of Yolov3/v4 based on caffe

Deep Learning GPU Training System

load caffe prototxt and weights directly in pytorch

Dataset of images of trash; Torch-based CNN for garbage image classification

Medical image processing in Python

Torch7 -> CoreML

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Go package for computer vision using OpenCV 4 and beyond.

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Differentiable architecture search for convolutional and recurrent networks

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

A REST API for Caffe using Docker and Go

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）