:mortar_board:RESEARCH [NLP :speech_balloon:] This is an implementation of "Automatic Consensus-Based Text Summarizer" along with text-organizing capabilities that can generate genre-specific, generic or user-configured summaries of a large amount of unorganized text. We are currently using a number of independent text-mining algorithms based on different statistical models to compute the summaries and combining them using configurable consensus techniques.:exclamation::boom:

Automatic-Text-Summarizer Author- Ayush Pareek Access the publication here: https://www.aclweb.org/anthology/W/W16/W16-63.pdf#page=157 Phase 1- PPT Presentation Phase 2- PPT Presentation This is an implem

Related Repos



MichaelJWelsh Yannl Yannl is a compact, portable, feed-forward artificial neural network library written in C++11. Yannl has no dependencies but can be easily optimized for matrix multiplication via callbacks (see integrating BLAS example for
 

griegler OctNet uses efficient space partitioning structures (i.e. octrees) to reduce memory and compute requirements of 3D convolutional neural networks, thereby enabling deep learning at high resolutions. This is the code for the paper: OctNet
 

facebookarchive TorchMPI TorchMPI provides a simple abstraction for distributing training of Torch neural network models on multi-node multi-GPU clusters. We support (a)synchronous data-parallel SGD, model-parallel SGD, CPU-side parameter server
 

lmb-freiburg FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
 

a16z Repo for work for AI Survey
 

HaoZeke ############################ COPYRIGHT NOTICE ################################## Code provided by G. Carleo and M. Troyer, written by G. Carleo, December 2016. Permission is granted for anyone to copy, use, modify, or distribute the accom
 

msracver The source code of 'Visual Attribute Transfer through Deep Image Analogy'
 

locuslab A PyTorch wrapper for CUDA FFTs A package that provides a PyTorch C extension for performing batches of 2D CuFFT transformations, by Eric Wong Update: FFT functionality is now officially in PyTorch 0.4, see the documentation he