6408 Open source projects that are alternatives of or similar to Shufflenet V2 Tensorflow

MobileNetV3 in pytorch and ImageNet pretrained models

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

BERT-NER (nert-bert) with google bert https://github.com/google-research.

The repository provides usefull python scripts for ML and data analysis

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Implementation of different techniques to find insights from the satellite data using Python.

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

A new test set for ImageNet

An open-source, low-code machine learning library in Python

Implementation of EfficientNet model. Keras and TensorFlow Keras.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Github repo with tutorials to fine tune transformers for diff NLP tasks

Service Classification based on Service Description

Predicting forex binary options using time series data and machine learning

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Evaluation of the CNN design choices performance on ImageNet-2012.

My Attempt(s) In The World Of ML/DL....

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A collection of all projects pertaining to different layers in the SDC software stack

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Collection of computer vision models, ready to be included in a JVM project

This repository consists of all my Machine Learning Projects.

Comparison tools

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Unofficial PyTorch Reimplementation of RandAugment.

Selective Classification For Deep Neural Networks.

food image to recipe with deep convolutional neural networks.

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

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Skin cancer classification using Inceptionv3

An Interactive Approach to Understanding Deep Learning with Keras

Code for Tensorflow Machine Learning Cookbook

A Julia machine learning framework

A comparative assessment of machine learning classification algorithms applied to poverty prediction

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Classification schemes for choropleth mapping.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

R package to interface with OpenML

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Fined grained classification On Car dataset

Classification with PyTorch.

Building a CNN based traffic signs classifier.

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

High-quality Neural Networks for Computer Vision 😎

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

fastai V2 implementation of Timeseries classification papers.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Object classification with CIFAR-10 using transfer learning

IPython widgets, interactive plots, interactive machine learning

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.