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awesome-nlp-polish

A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.

blipface

WPF interface for polish twitter clone http://blip.pl , more on http://blipface.pl

bokeh_introduction

Introduction to Python Bokeh visualization library

char_rnn_for_learning

This is a repo which contains working scritpts with char rnn implementaions.

cifar10keras

CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL

cs_console

The console ui used in Code School courses

cudadotprod

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.

decaptcha

Decoding capcha with convolution neural netowrk

hbasestargate.net

.net client library for stargate (rest) interface to hbase

hdf5_python_playground

HDF5 and h5py basic tutorial

image_convolution_example

instruction-datasets

All available datasets for Instruction Tuning of Large Language Models

kmlib

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.

matplotlib_examples

Introduction to matplotlib with examples

morfeusznet

.net wrapper for polish morfological analyzer from http://nlp.ipipan.waw.pl/~wolinski/morfeusz/

nlp_topic_modeling

numbers_recognition

Convolutional network for number recognition

numpy-pandas-tutorial

Introduction to numpy and pandas for data visualization in python.

numpy-tutorial

Python numpy tutorial based on stanford cs231

pandas_worldbank_gdp

World Bank GDP analysis of 10 European country with some plots

picrank

Picture Ranking system

primal_svm

Python implementation of fast linear SVM

pykmlib

Python SVM with CUDA support.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_fundamentals

Set of simple Pytorch scripts for better understanding pytorch fundamentals as tensors, loss functins, modules etc.

pytorch_neural_networks

🔥 Pytorch neural network tutorial. Build: feedforward, convolutional, recurrent/LSTM neural network.

scikit-learn-tutorial

Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.

seq2seq-attention-pytorch-lightning

Pytorch-Lightning Seq2seq model with the use of recurrent neural network

shields

Concise, consistent, and legible badges in SVG and raster format

smdv

Sparse Matrix dense vector python cuda implementations