ejklike

ejklike's Stars

• pcafrica/focus-beamertheme

  Focus: a minimalist presentation theme for LaTeX Beamer.

  Language:TeX50242

• karpathy/paper-notes

  Random notes on papers, likely a short-term repo.

  66882

• floodsung/Meta-Learning-Papers

  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  2.6k474

• gitabcworld/FewShotLearning

  Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

  Language:Python25658

• markdtw/matching-networks

  Matching Networks for one-shot learning in tensorflow (NIPS'16)

  Language:Python5625

• snowkylin/ntm

  TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)

  Language:Python18365

• hmishra2250/NTM-One-Shot-TF

  One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

  Language:Python24468

• Bihaqo/t3f

  Tensor Train decomposition on TensorFlow

  Language:Python22255

• oseledets/ttpy

  Python implementation of the TT-Toolbox

  Language:Python24167

• AntreasAntoniou/MatchingNetworks

  An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

  Language:Python32996

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k604

• wOOL/TNRDMTL

  [Code] Trace Norm Regularised Deep Multi-Task Learning

  Language:Jupyter Notebook2712

• hantek/BinaryConnect

  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016

  Language:Python8112

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.1k2k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k45.8k

• wOOL/Learning_to_Compare

  Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"

  Language:Jupyter Notebook3010

• wOOL/DMTRL

  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach

  Language:Jupyter Notebook5727

• guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

  Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

  Language:Python319100

• Koutoulakis/Deep-Learning-for-Human-Activity-Recognition

  Language:Python4218

• jindongwang/Deep-learning-activity-recognition

  A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)

  Language:Python22477

• STRCWearlab/DeepConvLSTM

  Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

  Language:Jupyter Notebook269119

• nhammerla/deepHAR

  Code repository for experiments on deep architecture for HAR in ubicomp

  Language:Lua2311

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.3k7.3k

• adbrebs/taxi

  Winning entry to the Kaggle taxi competition

  Language:Python26293

• adbrebs/handwriting

  Conditional handwriting generation in Theano

  Language:Python249

• posquit0/dotfiles

  :zap: Awesome configurations for the development environments

  Language:Shell19119