mirror of
https://github.com/josephmisiti/awesome-machine-learning.git
synced 2024-12-18 06:41:59 +03:00
commit
cbafc1145a
10
README.md
10
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.
|
||||
|
||||
<a name="elixir"></a>
|
||||
## 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
|
||||
|
||||
<a name="python-general-purpose"></a>
|
||||
@ -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.
|
||||
|
Loading…
Reference in New Issue
Block a user