rpytel1
Senior Machine Learning Engineer at Reasonfield Lab
Reasonfield Lab (part of Softwaremill)Warsaw, Poland
Pinned Repositories
fix-it-in-post.net
fix-it-in-post.net
clickbait-challenge
Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.
dijkstra-and-floyd-algorithms
Finding thickest path in Graph based on Adjacency Matrix by algorithms of Dijkstra and Floyd-Warshall. Input document has to be like in a form like samples in input folder.
efficient-semantic-segmentation
log-strategy
Project conducted for Seminar in Machine Learning for Software Engineering. Aim of our research was to explore possible directions of Deep Learning solutions for log detection in a snippet of code.
multimedia-project
Implementation of content based recommendation system using transformed data from Social Media Challenge. Similarity based and Machine Learning approaches implemented. Employed image features like: HOG histogram, HSV histogram and even SIFT descriptors.
occlusion-vs-data-augmentations
Oficial repository of ICPR 2020 paper "Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions"
smartfirewall
Firewall using Opendaylight controller. project contains of mininet wrapper based on official mac_chaining demo from Opendaylight extedned by usage of Snort IDS used as SFF.
supercomputing-labs
Fork of the repository for Supercomputing in Big Data class on TU Delft. Scala, Spark and Kafka were used to perform processing and streaming of GDelt data segments.
Dollynator
Autonomous self-replicating code
rpytel1's Repositories
rpytel1/occlusion-vs-data-augmentations
Oficial repository of ICPR 2020 paper "Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions"
rpytel1/dijkstra-and-floyd-algorithms
Finding thickest path in Graph based on Adjacency Matrix by algorithms of Dijkstra and Floyd-Warshall. Input document has to be like in a form like samples in input folder.
rpytel1/multimedia-project
Implementation of content based recommendation system using transformed data from Social Media Challenge. Similarity based and Machine Learning approaches implemented. Employed image features like: HOG histogram, HSV histogram and even SIFT descriptors.
rpytel1/clickbait-challenge
Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.
rpytel1/efficient-semantic-segmentation
rpytel1/smartfirewall
Firewall using Opendaylight controller. project contains of mininet wrapper based on official mac_chaining demo from Opendaylight extedned by usage of Snort IDS used as SFF.
rpytel1/supercomputing-labs
Fork of the repository for Supercomputing in Big Data class on TU Delft. Scala, Spark and Kafka were used to perform processing and streaming of GDelt data segments.
rpytel1/BHL-hackaton
App prototype for BEST Hacking League Hackathon. App for students drinking in public.
rpytel1/braille-neural-network
Project for course Introduction to AI course. Neural network learning to use Braille alphabet.
rpytel1/ciphered-chatroom
rpytel1/ciphered-chatroom-client
rpytel1/distributed-algorithms
Repository for assignments for Distributed Algorithms class at TU Delft. Implemented casual ordering of point-to-point messages (Schiper-Eggli-Sandoz), tokken based mutual exclusion (Singhal’s algorithm) and minimum weight spanning tree in asynchronous networks (Gallager, Humblet, and Spira). All algorithms are written using Java RMI.
rpytel1/dl-framework-comparison
rpytel1/easy-shopping
Project for course Introduction to Mobile Applications. Project is an App for IOS which aims to simplify making shopping list. App provides interface which organize product list according the departments in supermarket and distinguish them by color. Main "killer feature" is possiblity of reading hand-written lists and importing them to the app. This is achieved using Microsoft Computer Vision API.
rpytel1/KatzYungProtocol
rpytel1/law-agents
rpytel1/log-strategy
Project conducted for Seminar in Machine Learning for Software Engineering. Aim of our research was to explore possible directions of Deep Learning solutions for log detection in a snippet of code.
rpytel1/mathoverflow-network-analysis
Analysis of the mathoverflow user interaction data using networks
rpytel1/nbstripout
strip output from Jupyter and IPython notebooks
rpytel1/negotiation-agent
rpytel1/OOTDiffusion
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
rpytel1/real-estate-agency
rpytel1/rest-log-app
Simple Restful App to save diffrent logs in database. On backend Java, frontend-HTML,CSS and Angular.
rpytel1/simulated-annealing-network
Finding the way to connect requests between points according to their eends of capacity. Finding correct paths is done through Simulated Annealing. Input files has to be in a form like the files in input folder.
rpytel1/sip-proxy-simulation
rpytel1/telephone-central
Project simulating one Telephone Center without priority inside.
rpytel1/trec-car-reproduction
Project reproducing paper proposing TREC dataset for Complex Answers Retrieval. Usage of Galago and Lucene Search engines and Galago's query expansion. Implementation of Rocchio query expansion.
rpytel1/umik-project
Project for course Context Applications. App checking satisfaction level of costumers by using Microsoft Emotions API.
rpytel1/vipriors-challenges-toolkit
Collection of tools to support submissions to the 1st VIPriors workshop challenges