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Name: Przemysław Kaleta
Type: User
Bio: Machine Learning Engineer, formerly a student at Warsaw University of Technology
Name: Przemysław Kaleta
Type: User
Bio: Machine Learning Engineer, formerly a student at Warsaw University of Technology
Prediction of whether or not a user will click on a given ad based on data of various formats combined into single, multi-input neural network. Achieves 0.74 ROC AUC on 10M data from KDD Cup 2012.
A tiny tool for practicing recognition of newly learnt cubing algorithms.
Variational Auto-Encoder based on Roberta encoder.
Implementation of parallel Breadth First Algorithm for graph traversal using CUDA and C++ language.
Re-implementation of FM-GAN, based on the TensorFlow code
Image classification with neural networks. Implementation of a WideResnet architecture which achieved 94.17 accuracy on Kaggle Cifar-10 testset.
Coming up with a strategy (and it's mathematical analysis) to play a simple continuous version of blackjack game.
Trying not to forget c++
Simple tool to scrape Rubik's Cube solutions from cubesolv.es
Trying to use Reinforcement Learning to train a neural network solving a Rubik's Cube.
Random notebooks exploring basics of various Machine Learning Topics (RNNs, GANs, Monte Carlo, Bayesian Statistics)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Text-mining/NLP project to classify false statement based on data.
The Python micro framework for building web applications.
Generalized linear models in R
Aplikacja na projekt z przedmiotu gry kombinatoryczne
First repository
Algorithm which finds Eulerian cycle in a graph.
Lecture notes for 'Interpretable Machine Learning' at WUW and UW. Summer semester 2018/2019
Interpretable Machine Learning. Building models and trying to explain model predictions.
The Web Application reference architecture is a general-purpose, event-driven, web application back-end that uses AWS Lambda, Amazon API Gateway for its business logic. It also uses Amazon DynamoDB as its database and Amazon Cognito for user management. All static content is hosted using AWS Amplify Console.
Experiments to rewrite style transfer code from tensorflow to pytorch (not finished yet)
Molecule One API Wrapper
Moje początki z przetwarzaniem języka naturalnego
Neural network with arbitrary number of hidden layers and various activation function and losses implemented from scratch (numpy).
Experiments with data augmentation for Natural Language Processing tasks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.