Middlware method implements HTTP method override for Macaron.
This checks for the X-HTTP-Method-Override header and uses it if the original request method is POST. GET/HEAD methods shouldn't be overriden, hence they can't
This toolbox is outdated and no longer maintained.
There are much better tools available for deep learning than this toolbox, e.g. Theano, torch or tensorflow
I would suggest you use one of the tools mention
Optimus id transformation
With this library, you can transform your internal id's to obfuscated integers based on Knuth's integer hash. It is similar to Hashids, but will generate integers instead of random strings. It is als
Make your modal transition with custom animation. AZTransitions helps you think about creativity, giving specific API methods.
Inside this repository you can try iOS Example target w
Newly is a drop in solution to add Twitter/Facebook/Linkedin style, new updates/tweets/posts available button. It can be used to notify user about new content availability and can other actions can be triggers using its delegate method
Trace Swift and Objective-C method invocations of non-final classes in an app bundle or framework. Think Xtrace but for Swift and Objective-C. You can also add "aspects" to member functions of non-final Swift classes t
goreset generates reset method for any structure, allowing to reuse it easily. It has been written to use sync.pool without fear of tricky bugs as one field not properly reset before reuse.
Just run goreset and be sure
ExpyTableView is a re-write based on SLExpandableTableView. Takes some ideas, concepts and codes and regenerates them in Swift. Lets you create expandable table views as easily as its ances
A super simple fit method for PyTorch Modules
Ever wanted a pretty, Keras-like fit method for your PyTorch Modules? Here's one. It lacks some of the advanced functionality, but it's easy to use:
import torch.nn as
This package implements classic, well known from PHP, method of sending emails. It's stupid simple and it works not only with Sendmail, but also with other MTAs, like Postfix or sSMTP, which provide compatibility int
PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop.
VoiceLoop is a neural text-to-speech (TTS) that is able to transform text to speech in voice
Please use hyper parameters from this readme. With other hyper parameters things might not work (it's RL after all)!
This is a PyTorch implementation of
Advantage Actor Critic (A2C), a synchro
MethodTracerCli is a command-line interface of Android Studio's method tracer. You can run it independently without Android Studio. It's very useful when you want to do method tracing on a non-gui environment. So you can use it in your test
Simpliest way to ask runtime permissions on Android, choose your way :
Kotlin with Coroutines
No need to override Activity or FragmentonPermissionResult(code, permi
General features selection based on certain machine learning algorithm and evaluation methods
Divesity, Flexible and Easy to use
More features selection method will be included in the future!
GhostTunnel is a covert backdoor transmission method that can be used in an isolated environment. It can attack the target through the HID device only to release the payload (agent), then the HID device can be removed
Project | YouTube(short) | YouTube(full) | arXiv | Paper(full)
Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation. It can be used for turning semantic lab
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Deep neural networks often work well when they are over-parameterized and trained with a massive amount
ApplyStyleKit is a library that applies styles to UIKit using Swifty Method Chain.
Normally, when applying styles to UIView etc.,it is necessary to write propertyName and equal operator many times.
Roberto Toro, March 2019
In 3D biomedical image segmentation, dataset properties like imaging modality, image sizes, voxel spacings, class ratios etc vary drastically. For example, images in the Liver and Liver Tumor Segmentation Challenge datase
SpecAugment with Pytorch
A Pytorch Implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
SpecAugment is a state of the art data augmentation app
Vim Bootstrap is generator provides a simple method of generating a .vimrc configuration for vim, NeoVim, NeoVim-Qt, MacVim and GVim.
The distribution is designed to work with
It is a simple demo including face detection and face aligment, and some optimizations were made to make the result smooth.
CAUTION: this is the tensorflow2.0 branch, if you want to
PyNomaly is a Python 3 implementation of LoOP (Local Outlier Probabilities). LoOP is a local density based outlier detection method by Kriegel, Kröger, Schubert, and Zimek which provides outlier scores in the range of [0
New Eigenvectors from Eigenvalues Calculation
This repository implements this new paper that allows us to calculate eigenvectors from eigenvectors elegantly through PyTorch.
I ported this to PyTorch as a lot of my workflows are
We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented images, which results in increased robustness and improved uncertaint
A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.
Pytorch implementation for reproducing CPGAN results in the paper CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-image Synthesis by Jiadong Liang, Wenjie Pei, Feng Lu.
Deep Noise Suppression (DNS) Challenge - Interspeech 2020
This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.ne
Code for the paper: "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" by Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang,
This script implements a 2d fluid solver based on Lattice Boltzmann method using Taichi programming language. The high-performance cross-platform CFD (computational fluid dynamics) solver can be achieved within 200 lines thanks to taichi.