Name: Krzysztof Sopyła
Type: User
Company: @PromptSail @Polish-ML-Community
Bio: Ph.D., NLP researcher, data scientist, and entrepreneur.
Polish ML Community discord https://discord.gg/a96XHkUHm5
Twitter: ksopyla
Location: Olsztyn, Poland
Blog: https://ksopyla.com
Krzysztof Sopyła's Projects
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
WPF interface for polish twitter clone http://blip.pl , more on http://blipface.pl
Introduction to Python Bokeh visualization library
This is a repo which contains working scritpts with char rnn implementaions.
CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL
The console ui used in Code School courses
Different implementation of sparse matrix multiplication. All matrices are in CSR format. The code contains different CUDA kernels for multiply sparse matrix vs dense vector and sparse matrix vs another sparse matrix. It contains several cuda kernel for sparse matrix dense vector product and sparse matrix sparse matrix product.
Decoding capcha with convolution neural netowrk
.net client library for stargate (rest) interface to hbase
HDF5 and h5py basic tutorial
All available datasets for Instruction Tuning of Large Language Models
Kernel Machine Library - fast GPU SVM in.net. Implemented kernels on CPU and GPU (Linear,RBF,Chi-Square,Exp Chi-Square). Library includes GPU SVM solvers for sparse problems.
Introduction to matplotlib with examples
.net wrapper for polish morfological analyzer from http://nlp.ipipan.waw.pl/~wolinski/morfeusz/
Convolutional network for number recognition
Introduction to numpy and pandas for data visualization in python.
Python numpy tutorial based on stanford cs231
World Bank GDP analysis of 10 European country with some plots
Picture Ranking system
Python implementation of fast linear SVM
Python SVM with CUDA support.
PyTorch Tutorial for Deep Learning Researchers
Set of simple Pytorch scripts for better understanding pytorch fundamentals as tensors, loss functins, modules etc.
🔥 Pytorch neural network tutorial. Build: feedforward, convolutional, recurrent/LSTM neural network.
Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
Pytorch-Lightning Seq2seq model with the use of recurrent neural network
Concise, consistent, and legible badges in SVG and raster format