From b4980938804a43512f6ba797371e3f88035e785c Mon Sep 17 00:00:00 2001 From: ferhat elmas Date: Mon, 8 Oct 2018 22:31:02 +0200 Subject: [PATCH] Typo fixes in readme --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 6cc0261..092567b 100644 --- a/README.md +++ b/README.md @@ -282,7 +282,7 @@ Further resources: #### General-Purpose Machine Learning * [machine](https://github.com/mathieulaporte/machine) - Simple machine learning algorithm. -* [crystal-fann](https://github.com/bararchy/crystal-fann) - FANN (Fast Artifical Neural Network) binding. +* [crystal-fann](https://github.com/bararchy/crystal-fann) - FANN (Fast Artificial Neural Network) binding. ## Elixir @@ -315,7 +315,7 @@ Further resources: * [go-porterstemmer](https://github.com/reiver/go-porterstemmer) - A native Go clean room implementation of the Porter Stemming algorithm. * [paicehusk](https://github.com/Rookii/paicehusk) - Golang implementation of the Paice/Husk Stemming Algorithm. * [snowball](https://github.com/tebeka/snowball) - Snowball Stemmer for Go. -* [Textbox](https://godoc.org/github.com/machinebox/sdk-go/textbox) - Natural langauge processing SDK from Machine Box +* [Textbox](https://godoc.org/github.com/machinebox/sdk-go/textbox) - Natural language processing SDK from Machine Box * [go-ngram](https://github.com/Lazin/go-ngram) - In-memory n-gram index with compression. * [word-embedding](https://github.com/ynqa/word-embedding) - Word Embeddings: the full implementation of word2vec, GloVe in Go. * [sentences](https://github.com/neurosnap/sentences) - Golang implementation of Punkt sentence tokenizer. @@ -637,7 +637,7 @@ Further resources: * [lbfgs](https://github.com/clementfarabet/lbfgs) - FFI Wrapper for liblbfgs. * [vowpalwabbit](https://github.com/clementfarabet/vowpal_wabbit) - An old vowpalwabbit interface to torch. * [OpenGM](https://github.com/clementfarabet/lua---opengm) - OpenGM is a C++ library for graphical modeling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM. - * [sphagetti](https://github.com/MichaelMathieu/lua---spaghetti) - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu + * [spaghetti](https://github.com/MichaelMathieu/lua---spaghetti) - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu * [LuaSHKit](https://github.com/ocallaco/LuaSHkit) - A lua wrapper around the Locality sensitive hashing library SHKit * [kernel smoothing](https://github.com/rlowrance/kernel-smoothers) - KNN, kernel-weighted average, local linear regression smoothers. * [cutorch](https://github.com/torch/cutorch) - Torch CUDA Implementation. @@ -897,7 +897,7 @@ be * [yase](https://github.com/PPACI/yase) - Transcode sentence (or other sequence) to list of word vector . * [Polyglot](https://github.com/aboSamoor/polyglot) - Multilingual text (NLP) processing toolkit. * [DrQA](https://github.com/facebookresearch/DrQA) - Reading Wikipedia to answer open-domain questions. -* [Dedupe](https://github.com/dedupeio/dedupe) - A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution. +* [Dedupe](https://github.com/dedupeio/dedupe) - A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution. * [Snips NLU](https://github.com/snipsco/snips-nlu) - Natural Language Understanding library for intent classification and entity extraction @@ -994,7 +994,7 @@ be * [SciPy](http://www.scipy.org/) - A Python-based ecosystem of open-source software for mathematics, science, and engineering. * [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python. -* [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy. +* [Numba](http://numba.pydata.org/) - Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy. * [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks. * [igraph](http://igraph.org/python/) - binding to igraph library - General purpose graph library. * [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.