diff --git a/README.md b/README.md index 624c9ce..94d33e9 100644 --- a/README.md +++ b/README.md @@ -179,12 +179,66 @@ If you want to contribute to this list (please do), send me a pull request or co #### General-Purpose Machine Learning * [Torch7](http://torch.ch/) + * [cephes](http://jucor.github.io/torch-cephes) - Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. + * [graph](https://github.com/torch/graph) - Graph package for Torch + * [randomkit](http://jucor.github.io/torch-randomkit/) - Numpy's randomkit, wrapped for Torch + * [signal](http://soumith.ch/torch-signal/signal/) - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft + + * [nn](https://github.com/torch/nn) - Neural Network package for Torch + * [nngraph](https://github.com/torch/nngraph) - This package provides graphical computation for nn library in Torch7. + * [nnx](https://github.com/clementfarabet/lua---nnx) - A completely unstable and experimental package that extends Torch's builtin nn library + * [optim](https://github.com/torch/optim) - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more. + * [unsup](https://github.com/koraykv/unsup) - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). + * [manifold](https://github.com/clementfarabet/manifold) - A package to manipulate manifolds + * [svm](https://github.com/koraykv/torch-svm) - Torch-SVM library + * [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 + * [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 + * [cunn](https://github.com/torch/cunn) - Torch CUDA Neural Network Implementation + * [imgraph](https://github.com/clementfarabet/lua---imgraph) - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images. + * [videograph](https://github.com/clementfarabet/videograph) - A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos. + * [saliency](https://github.com/marcoscoffier/torch-saliency) - code and tools around integral images. A library for finding interest points based on fast integral histograms. + * [stitch](https://github.com/marcoscoffier/lua---stitch) - allows us to use hugin to stitch images and apply same stitching to a video sequence + * [sfm](https://github.com/marcoscoffier/lua---sfm) - A bundle adjustment/structure from motion package + * [fex](https://github.com/koraykv/fex) - A package for feature extraction in Torch. Provides SIFT and dSIFT modules. + * [OverFeat](https://github.com/sermanet/OverFeat) - A state-of-the-art generic dense feature extractor * [Numeric Lua](http://numlua.luaforge.net/) * [Lunatic Python](http://labix.org/lunatic-python) * [SciLua](http://www.scilua.org/) * [Lua - Numerical Algorithms](https://bitbucket.org/lucashnegri/lna) * [Lunum](http://zrake.webfactional.com/projects/lunum) +#### Demos and Scripts +* [Core torch7 demos repository](https://github.com/e-lab/torch7-demos). + * linear-regression, logistic-regression + * face detector (training and detection as separate demos) + * mst-based-segmenter + * train-a-digit-classifier + * train-autoencoder + * optical flow demo + * train-on-housenumbers + * train-on-cifar + * tracking with deep nets + * kinect demo + * filter-bank visualization + * saliency-networks +* [Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)](https://github.com/soumith/galaxyzoo) +* [Music Tagging](https://github.com/mbhenaff/MusicTagging) - Music Tagging scripts for torch7 +* [torch-datasets](https://github.com/rosejn/torch-datasets) - Scripts to load several popular datasets including: + * BSR 500 + * CIFAR-10 + * COIL + * Street View House Numbers + * MNIST + * NORB +* [Atari2600](https://github.com/fidlej/aledataset) - Scripts to generate a dataset with static frames from the Arcade Learning Environment + + + ## Matlab #### Computer Vision