sliorde's repositories

generating-neural-networks-with-neural-networks

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

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quantum-clustering

some implementations of the unsupervised algorithm of quantum clustering

quantum-clustering-masters-thesis

Implementation of qunatum clustering and hierarchical quantum clustering

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sobolev-active-contours

Object segmentation in images using Sobolev active contours

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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;

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fairseq

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

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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retriever

implementation of DeepMind's Retro model

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RETRO-pytorch

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

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sac_gridworld

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

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tutorials

PyTorch tutorials.

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weight-shape-decomposition

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

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