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stack-rnn

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

starless

Starless is a CPU black hole raytracer in numpy suitable for both informative diagrams and decent wallpaper material.

style2paints

sketch + style = paints :art:

taichi

Open-Source Computer Graphics Library

ted-multilingual-parallel-corpus

TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.

tensor2tensor

A library for generalized sequence to sequence models

tensorf

Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

theano-rnn

Demonstration of recurrent neural network implemented with Theano

tiny-cuda-nn

Lightning fast & tiny C++/CUDA neural network framework

tmbp

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

tsptoolbox

Matlab code to compute heuristic approximations of the Traveling Salesman Problem and its variants (GTSP, MGTSP)

unitok

in pursuit of a universal tokenizer

unleashing-transformers

unsup3d

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

variational-autoencoder

Implementation of a variational Auto-encoder

variational-recurrent-autoencoder

Implementation of the VRAE

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

word-pattern

word embeddings based on pattern learning

word2vec_cbow

this is a high performance cuda porting of cbow model of word2vec

word_observation_rbm_nce

Train word embeddings with an RBM and Noise Contrastive Estimation training

write-rnn-tensorflow

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

wxpy

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