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A curated list of awesome Python frameworks, libraries, software getting started tutorial
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Deep Learning
424
Lucid library adapted for PyTorch
Lucent PyTorch + Lucid = Lucent The wonderful Lucid library adapted for the wonderful PyTorch! Lucent is not affiliated with Lucid or OpenAI's Clarity
Deep Learning
37
💡 Learnergy is a Python library for energy-based machine learning models.
Learnergy: Energy-based Machine Learners Welcome to Learnergy. Did you ever reach a bottleneck in your computational experiments? Are you tired of imp
Deep Learning
42.8k
The world's simplest facial recognition api for Python and the command line
Face Recognition You can also read a translated version of this file in Chinese 简体中文版 or in Korean 한국어 or in Japanese 日本語. Recognize and manipulate fa
Deep Learning
175
Face detection using deep learning.
Face Detection Docker Solution Using Faster R-CNN Dockerface is a deep learning face detector. It deploys a trained Faster R-CNN network on Caffe thro
Third-party APIs
4k
A Python wrapper for Google Tesseract
Python Tesseract Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded i
Deep Learning
649
PyTorch implementation of neural style transfer algorithm
neural-style-pt This is a PyTorch implementation of the paper A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, and Matthias
Deep Learning
4.7k
Image processing in Python
scikit-image: Image processing in Python Website (including documentation): https://scikit-image.org/ User forum: https://forum.image.sc/tag/scikit-im
Deep Learning
1.8k
Open source Python module for computer vision
About PCV PCV is a pure Python library for computer vision based on the book "Programming Computer Vision with Python" by Jan Erik Solem. More details
Miscellaneous
111
OCaml Math Library
OCaml Math Library %%VERSION%% A collection of OCaml Math and Statistics functions. The API is available online. Goals Perform simple and sophisticate
Miscellaneous
276
OCaml bindings for TensorFlow
The tensorflow-ocaml project provides some OCaml bindings for TensorFlow. Experimental ocaml bindings for PyTorch can be found in the ocaml-torch repo
Deep Learning
3
A Raku Naive Bayes classifier implementation
NAME Algorithm::NaiveBayes - A Raku Naive Bayes classifier implementation SYNOPSIS EXAMPLE1 use Algorithm::NaiveBayes; my $nb = Algorithm::NaiveBayes
Deep Learning
6
Code and tools around integral images
torch-saliency code and tools around integral images. A library for finding interest points based on fast integral historgrams. The saliency is comput
Deep Learning
138
Pattern Recognition Toolbox for MATLAB
PRT: Pattern Recognition and Machine Learning in MATLAB A free and permissively licensed object oriented approach to machine learning in MATLAB. Machi
Deep Learning
5.4k
Matlab code of machine learning algorithms in book PRML
Introduction This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C
Deep Learning
36
Entry for GalaxyZoo challenge
galaxyzoo Entry for GalaxyZoo Challenge: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge Our best score was 0.08246 placing us at 9th position
Deep Learning
36
A collection of machine learning datasets for use with Torch7.
Datasets A collection of easy to use datasets for training and testing machine learning algorithms with Torch7. Usage require('dataset/mnist') m = Mni
Deep Learning
18
Scripts to generate a dataset with static frames from the Arcade Learning Environment
Producing of the dataset Get Torch Put atari ROMs for freeway, pong, riverraid, seaquest, space_invaders under roms/ SHA1 sums of the supported ROM fi
Deep Learning
43
Demos and tutorials around Torch7 (in progress updates from xLearn)
Demos & Tutorials for Torch7. All the demos/tutorials provided in this repo require Torch7 to be installed, as well as some extra (3rd-party) packages
Deep Learning
325
A CUDA backend for Torch7
cutorch ** NOTE on API changes and versioning ** Cutorch provides a CUDA backend for torch7. Cutorch provides the following: a new tensor type: torch.
Deep Learning
924
Recurrent Neural Network library for Torch7's nn
rnn: recurrent neural networks Note: this repository is deprecated in favor of https://github.com/torch/rnn. This is a Recurrent Neural Network librar
Deep Learning
346
A deep learning library for streamlining research and development using the Torch7 distrib...
dp Package Reference Manual# dp is a deep learning library designed for streamlining research and development using the Torch7 distribution. It emphas
Deep Learning
84
Some unsupervised learning modules using Torch
UNSUP A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-cont
Deep Learning
127
A package to manipulate manifolds.
Manifold A package to manipulate manifolds, for Torch7. Install luarocks install manifold Dependencies In order to be able to run the binaries, you ne
Deep Learning
35
Provides and wraps the Randomkit library, copied from Numpy.
#Randomkit random number generators, wrapped for Torch NOTE: THIS PACKAGE IS NOT ACTIVELY MAINTAINED Provides and wraps the Randomkit library, copied
Deep Learning
45
Signal processing toolbox for Torch 7
torch-signal A signal processing toolbox for Torch-7 Fourier Transforms (real & complex) (1D, 2D, 3D) Cosine Transforms (1D, 2D, 3D) Short-time Fourie
Deep Learning
294
Graph Computation for nn
Neural Network Graph Package This package provides graphical computation for nn library in Torch. Requirements You do not need graphviz to be able to
Deep Learning
463
An image library for Julia
Images.jl Images.jl is an open-source image processing library for Julia. Project organization Images.jl is increasingly becoming an "umbrella package
Deep Learning
104
reproducible data setup for reproducible science
DataDeps Please see the detailed documentation linked above. Software using DataDeps.jl It might help to look at DataDeps.jl is being used to understa
Deep Learning
544
Autograd automatically differentiates native Torch code
Autograd Autograd automatically differentiates native Torch code. Inspired by the original Python version. Scope Autograd has multiple goals: provide
Deep Learning
34
Graph package for Torch
Graph Package This package provides graphical computation for Torch. Requirements You need not graphviz to be able to use this library but, if you hav
Deep Learning
95
Convenience meta-package to load essential packages for statistics
StatsKit.jl This is a convenience meta-package which allows loading essential packages for statistics in one command: using StatsKit Currently this lo
Deep Learning
138
Julia package for loading many of the data sets available in R
RDatasets.jl The RDatasets package provides an easy way for Julia users to experiment with most of the standard data sets that are available in the co
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880
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3714
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1081
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316
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48
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1029
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673
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159
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