maggie0106

maggie0106's Stars

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k1.1k9.6k6.8k

• jcjohnson/neural-style

  Torch implementation of neural style algorithm

  Language:Lua18.3k6354392.7k

• MorvanZhou/tutorials

  机器学习相关教程

  Language:Python12k665675.7k

• luanfujun/deep-photo-styletransfer

  Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

  Language:Matlab10k428661.4k

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.9k1436021.3k

• charlesq34/pointnet

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  Language:Python4.9k1363061.5k

• guoguibing/librec

  LibRec: A Leading Java Library for Recommender Systems, see

  Language:Java3.2k2342571k

• aditya-grover/node2vec

  Language:Scala2.6k63101912

• snap-stanford/snap

  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

  Language:C++2.2k177172800

• strawlab/python-pcl

  Python bindings to the pointcloud library (pcl)

  Language:Cython2k56324700

• SublimeText/LaTeXTools

  LaTeX plugin for Sublime Text

  Language:Python2k731.2k366

• benhamner/Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

  Language:Python1.6k8720455

• daavoo/pyntcloud

  pyntcloud is a Python library for working with 3D point clouds.

  Language:Python1.4k43181225

• enthought/mayavi

  3D visualization of scientific data in Python

  Language:Python1.3k95897285

• HIPS/neural-fingerprint

  Convolutional nets which can take molecular graphs of arbitrary size as input.

  Language:TeX4965810158

• y0ast/Variational-Autoencoder

  Implementation of a Variational Auto-Encoder in Theano

  Language:Python3792213143

• cvjena/cnn-models

  ImageNet pre-trained models with batch normalization for the Caffe framework

  Language:Python3623626164

• suanrong/SDNE

  This is a implementation of SDNE (Structural Deep Network embedding)

  Language:Python3221026119

• llSourcell/recurrent_neural_network

  This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

  Language:Jupyter Notebook14780146

• mdeff/ntds_2016

  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

  Language:Jupyter Notebook9720038

• shi-jian/mitsuba-shapenet

  Mitsuba for ShapeNet

  Language:C++912030

• mkeid/Feed-Forward-Style-Transfer

  TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.

  Language:Python785430

• vlandeiro/road-curve-detection

  Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, this project goal is to output the road properties.

  Language:Python643123

• hwalsuklee/tensorflow-mnist-MLP-batch_normalization-weight_initializers

  MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

  Language:Python544017

• hechtlinger/graph_cnn

  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"

  Language:Python517617

• fps7806/Graph-CNN

  Implementation of https://arxiv.org/abs/1703.00792.

  Language:Python457320

• fllinares/neural_fingerprints_tf

  A TensorFlow implementation of "Convolutional Networks on Graphs for Learning Molecular Fingerprints".

  Language:Python31329

• MOSEK/Mosek.pip

  PIP MOSEK installer

  Language:Python1771910

• daavoo/pyntcloud-notebooks

  Practical examples of using pyntcloud

  Language:Jupyter Notebook8205

• bluebox42/3D-deep-learning

  5204