ksopyla/numbers_recognition

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Rank 2,861,937 (Top 57 %)
Language
Python
Created over 8 years ago
Updated over 7 years ago

ksopyla/numbers_recognition

ksopyla

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Convolutional network for number recognition

svm_mnist_digit_classification

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

awesome-nlp-polish

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

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.

tensorflow-mnist-convnets

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

decaptcha

Decoding capcha with convolution neural netowrk

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.

primal_svm

Python implementation of fast linear SVM

pytorch_neural_networks

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

seq2seq-attention-pytorch-lightning

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

pyKMLib

Python SVM with CUDA support.

HbaseStargate.net

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

blipface

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

Pandas_Worldbank_GDP

World Bank GDP analysis of 10 European country with some plots

scikit-learn-tutorial

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

MorfeuszNet

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

numpy-tutorial

Python numpy tutorial based on stanford cs231

numpy-pandas-tutorial

Introduction to numpy and pandas for data visualization in python.

pytorch_fundamentals

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

image_convolution_example

winmole

Windows app launcher

hdf5_python_playground

HDF5 and h5py basic tutorial

Matplotlib_examples

Introduction to matplotlib with examples

char_rnn_for_learning

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