shubhampachori12110095 Goto Github PK

flutter_onboarding_ui

https://youtu.be/8eRQyE2PN7w

flutter_pokedex

A digital encyclopedia that categorizes Pokemon .

flutter_pokedex-1

Pokedex app built with Flutter (with lots of animations)

flutter_shop

基于Flutter的电商学习项目

flutter_shuqi

高仿书旗小说 Flutter版，支持iOS、Android

flutter_smart_course

Smart course app built in flutter.

flutter_smart_home_app

Smart home app designed in flutter

flutter_softui_watchapp

Basic watch app designed in flutter using soft UI.

flutter_swiper

The best swiper for flutter , with multiple layouts, infinite loop. Compatible with Android & iOS.

flutter_travel_ui

https://youtu.be/CSa6Ocyog4U

flutter_travel_ui_starter

https://youtu.be/CSa6Ocyog4U

flutter_twitter_clone

Fully functional Twitter clone built in flutter framework using Firebase realtime database and storage

flutter_ui_challenges

100+ Professional UI implementations with Code in Flutter. Available in Android, iOS, Linux and Web

flutter_vignettes

A collection of fun Flutter experiments, created by gskinner, in partnership with Google.

flutter_wallet_app

Wallet app built in flutter

flutter_web

Bring your Flutter code to web browsers

flutter_yatch_booking

Sample yatch booking app designed in flutter

flyvec

A biologically inspired method to create sparse, binary word vectors

fm_ftrl

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

fma

FMA: A Dataset For Music Analysis

fmfm

fnlp

中文自然语言处理工具包 Toolkit for Chinese natural language processing

focal-loss

Focal loss for Dense Object Detection

focal-loss-1

Reproduction of Focal-loss on caffe

focal-loss-2

loss layer of implementation

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

focal-loss-keras

Focal Loss implementation in Keras

focal_calibration

Code for the paper "Calibrating Deep Neural Networks using Focal Loss"

focalloss

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

focusing-attention-of-fully-convolutional-neural-networks-on-region-of-interest-roi-input-map-

This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based on using region selective features This code was tested on for semantic segmentation task of materials in transparent vessels where the vessel area of the image was set as the ROI.