2052 Open source projects that are alternatives of or similar to Espnetv2 Coreml

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ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Diabetic retinopathy screening w/ Tensorflow.

A curated list of resources focused on Machine Learning in Geospatial Data Science.

BCDU-Net : Medical Image Segmentation

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

AttaNet for real-time semantic segmentation.

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

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

deeplearning.ai , By Andrew Ng, All video link

🤖 The Cocoa Artificial Intelligence Lab

CNN image classifier implemented in Keras Notebook 🖼️.

Satellite Image Classification using semantic segmentation methods in deep learning

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

A light-weight, power efficient, and general purpose convolutional neural network

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Efficient Learning of Augmentation Policy Schedules

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Machine Reading Comprehension in Tensorflow

Best Practices, code samples, and documentation for Computer Vision.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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

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

Vocalization sign language iOS App with deep learning using CoreML.

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Deep learning codes and projects using Python

pip install antialiased-cnns to improve stability and accuracy

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

HyperSeg - Official PyTorch Implementation

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

Real life through the eyes of an artist

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

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

This is an open sourced book on deep learning.

Real-Time 3D Semantic Reconstruction from 2D data

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

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

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

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Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Build an OCR for iOS apps

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

SincNet is a neural architecture for efficiently processing raw audio samples.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Deep Learning Computer Vision Algorithms for Real-World Use

Real-Time Semantic Segmentation in Mobile device

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.