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saxonelf's Projects

awesome-php icon awesome-php

A curated list of amazingly awesome PHP libraries, resources and shiny things.

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

corenlp icon corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

drqa icon drqa

Reading Wikipedia to Answer Open-Domain Questions

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

fold icon fold

Deep learning with dynamic computation graphs in TensorFlow

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

grapesjs icon grapesjs

Free and Open source Web Builder Framework. Next generation tool for building templates without coding

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ice icon ice

Comprehensive RPC framework with support for C++, C#, Java, JavaScript, Python and more.

infersent icon infersent

Sentence embeddings (InferSent) and training code for NLI.

lictest icon lictest

A simple application for LIC test. The application can check if a string is a palindrome or an anagram of palindrome.

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

material-ui icon material-ui

React Components that Implement Google's Material Design.

materialize icon materialize

Materialize, a CSS Framework based on Material Design

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

neural-gpu icon neural-gpu

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

poincare-embeddings icon poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

scrnns icon scrnns

This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.

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