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conv-decoder

causal decoder based on convolutions only (no attention): can be applied to ubbounded sequence lengths; the prediction of the next token depends on *all* previous tokens; allows autoregressive sampling; highly gpu-parralellizable; trained with teacher forcing;

escape-room

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

generating-neural-networks-with-neural-networks

Code that goes along with paper http://arxiv.org/abs/1801.01952

hypernetworks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quantum-clustering

some implementations of the unsupervised algorithm of quantum clustering

quantum-clustering-masters-thesis

Implementation of qunatum clustering and hierarchical quantum clustering

retriever

implementation of DeepMind's Retro model

retro-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

sac_gridworld

Show optimal SAC policies in a simple, deterministic, finite state space, finite action space RL setting

sliorde.github.io

sobolev-active-contours

Object segmentation in images using Sobolev active contours

tutorials

PyTorch tutorials.

weight-shape-decomposition

Supplementary code for paper "The Weight-Shape Decomposition of Density Estimates: A Framework for Clustering and Image Analysis Algorithms"