122 skills found · Page 3 of 5
DmytroMitin / Dotty PatchedEval library and patched Scala-3/Dotty compiler. Evaluating source code and trees at compile time hacking multi-staging programming
intel / OpeniktOpenIKT(Open Inter kernel Tools) is a batch of utility tools, used to track the kernel patch status among multi open-source projects.
hsdn / Boss Helper[patch 92/100] Mystery Merchant and Boss Helper + fixed Ortan BAM-HP-Bar. Helps you to find Deliver Goblin/Mystery Merchant/World Boss. There are functions of teleport and automatic search. Multi-servers support.
maestun / Zoom Multistomp Patch ChangerArduino-based remote for Zoom MultiStomp series FX pedals
sunsean21 / Event Aware Video DerainingCode for Event-Aware Video Deraining via Multi-Patch Progressive Learning
qlinhta / MLP MixerImplementation for paper MLP-Mixer: An all-MLP Architecture for Vision. MLP-Mixer, an architecture based exclusively on multi-layer perceptrons (MLPs). MLP-Mixer contains two types of layers: one with MLPs applied independently to image patches (i.e. "mixing" the per-location features), and one with MLPs applied across patches (i.e. "mixing" spatial information).
GuillaumeBalezo / A LampImplementation of the paper: A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
whoiszzj / APDe MVSOfficial implementation for paper "Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation" (Pattern Recognition)
xy1377660586 / Fine Tuning A Pre Trained CNN For First Year Sea Ice And Multi Year Sea Ice Cp Imagery ClassificatioMapping first-year sea ice and multi-year sea ice in the oceans is significant for many applications. For example, ship navigation and weather forecast. Accurate and robust classification methods of multi-year ice and first-year ice are in demand [2]. Hybrid-polarity SAR architecture will be included in future SAR missions such as the Canadian RADARSAT Constellation Mission (RCM). These sensors will enable the use of compact polarimetry (CP) data in wide swath imagery [1]. Convolutional neural networks (CNNs) are becoming increasingly popular in many research communities due to availability of large image datasets and high-performance computing systems. As Convolutional networks (ConvNets) have achieved great success on many image classification tasks, I pursue this method for the classification of image patches from compact polarimety (CP) imagery into first-year ice and multi-year ice is applicable. In this course project, my work is kind of like the first practice of the CP imagery classification by fine-tuning a pre-trained convolutional neural network (CNN). Specifically, fine-tuning the last fully-connected layer of a pre-trained convolutional networks, I extract patches from simulated CP images as my dataset, the classification accuracy of the test set achieved 91.3% by fine-tuning a pre-trained CNN, compared to 49.4% classification accuracy by training from scratch.
leichenNUSJ / AAMandDCMThis project is to implement “Attention-Adaptive and Deformable Convolutional Modules for Dynamic Scene Deblurring(with ERCNN)” . To run this project you need to setup the environment, download the dataset, and then you can train and test the network models. ## Prerequiste The project is tested on Ubuntu 16.04, GPU Titan XP. Note that one GPU is required to run the code. Otherwise, you have to modify code a little bit for using CPU. If using CPU for training, it may too slow. So I recommend you using GPU strong enough and about 12G RAM. ## Dependencies Python 3.5 or 3.6 are recommended. ``` tqdm==4.19.9 numpy==1.17.3 torch==1.0.0 Pillow==6.1.0 torchvision==0.2.2 ``` ## Environment I recommend using ```virtualenv``` for making an environment. If you using ```virtualenv```, ## Dataset I use GOPRO dataset for training and testing. __Download links__: [GOPRO_Large](https://drive.google.com/file/d/1H0PIXvJH4c40pk7ou6nAwoxuR4Qh_Sa2/view?usp=sharing) | Statistics | Training | Test | Total | | ----------- | -------- | ---- | ----- | | sequences | 22 | 11 | 33 | | image pairs | 2103 | 1111 | 3214 | After downloading dataset successfully, you need to put images in right folders. By default, you should have images on dataset/train and dataset/valid folders. ## Demo ## Training Run the following command ``` python demo_train.py ('data_dir' is needed before running ) ``` For training other models, you should uncommend lines in scripts/train.sh file. I used ADAM optimizer with a mini-batch size 16 for training. The learning rate is 1e-4. Total training takes 600 epochs to converge. To prevent our network from overfitting, several data augmentation techniques are involved. In terms of geometric transformations, patches are randomly rotated by 90, 180, and 270 degrees. To take image degradations into account, saturation in HSV colorspace is multiplied by a random number within [0.8, 1.2].  ## Testing Run the following command ``` python demo_test.py ('data_dir' is needed before running ) ``` ## pretrained models if you need the pretrained models,please contact us by chenleinj@njust.edu.cn ## Acknowledge Our code is based on Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring [MSCNN](http://openaccess.thecvf.com/content_cvpr_2017/papers/Nah_Deep_Multi-Scale_Convolutional_CVPR_2017_paper.pdf), which is a nice work for dynamic scene deblurring .
bioinfoUQAM / MultiPatchFormerOfficial Implementation of the MultiPatchFormer: A multiscale model for multivariate time series forecasting
tdemin16 / Multi LaneOfficial Implementation of MULTI-LANE (Multi Label class incremental learning via summarising pAtch tokeN Embeddings). Published in 3rd Conference on Lifelong Learning Agents (CoLLAs 2024)
Jensen-JZ / SPD MEFPython implementation of the algorithm in the paper "Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach"
ULT7RA / GitHubCoPilotUNREALEngineThe FIRST UE 5 plugin that brings AI coding assistance directly into the editor. Dockable Slate UI , agentic tool exec (read/write/edit files, compile, search), real-time project context awareness, diff/patch workflows, Meta Quest/OpenXR analysis, and multi-model support via the GitHub Copilot API. Open source, production-oriented, C++ only
tasteofbbq / ICA4ATWSFor the paper 'A novel isogeometric coupling approach for assembled thin-walled structures', here is the core code and implementation that demonstrate the logic of the paper.
tmhglnd / Th.gl.texteditorA multi-line texteditor in the Max Jitter OpenGL window for interaction with your patch in a Livecoding-like style.
DodoBirby / AM2R Multitroid Unofficial PatchNo description available
moradisaed / MS PCMMulti-Scale patch-based contrast measure for small infrared target detection
CodeJjang / Multiscale Attention Patch MatchingNo description available
haojiezhe12345 / Termsrv Multiuser PatcherPatch Windows 10/11's termsrv.dll to enable concurrent multi-user sessions
