Graph infrastructure for batch competitions, as demonstrated during the demo day at the Solana Colosseum Accelerator.

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Easy way to obfuscate windows batch files (demo)

A remix friendly working example that calls on Aave V2's lending pool to execute a Batch Flash Loan and then atomically deposit-borrow-repay-withdraw the flashed liquidity.

Demos of the various methods of scaling Spring Batch

🛶 Demo batch update in UITableView and UICollectionView

Little demo of platforming and sprite batching via tinyheaders and Cave Story art

Best alternative for Parse? Firebase for back-end + Batch for push notifications. Here is a fully-working demo.

Demonstration of rendering three.js' BatchedMesh with different material properties in one draw call.

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This example is a demo of fake volumetric fog using compute shader and instancing. It takes only one batch, but it looks realistic fog.

Demo app to illustrate how to write a Lambda function that self-adjusts its batch size to control throughput of Kinesis events

AWS Batch Demo

python class for elasticsearch , including add, batch add, update, delete, query, and scan query. also with a demo that put Wikipedia into elasticsearch and query by keywords or sentence.

Demo of Meraki dashboard API action batches

A small demo that leverages Spring batch's capabilities to do job processing and Apache Kafka's stream processing. A simple CSV file gets used up in a batch job which then writes it to a Kafka queue (and H2 database) for further processing.

Demonstration of rendering 3d tiles using three.js BatchedMesh addon

This 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 .

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Proof of concept showing a single class being used to render instancing and batching geometry in a single draw call.

A demo project that replicates a Spring Batch tutorial using Apache Camel within a Spring Boot app

spring-boot-batch-demo

Various data stream/batch process demo with Apache Scala Spark 🚀

🔥 A harmless batch script that simulates a password cracking process for fun and educational purposes. Perfect for learning batch scripting and creating prank demos.

A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

Ejemplo práctico Spring Batch

Demo do Spring Batch p/ o SouJava BsB Meetup

A simple demo of using Airflow to submit AWS Batch jobs

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