shirakawas

shirakawas's Stars

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.1k2211564k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.3k419243.3k

• poloclub/cnn-explainer

  Learning Convolutional Neural Networks with Interactive Visualization.

  Language:JavaScript7.9k164461.2k

• googlecreativelab/quickdraw-dataset

  Documentation on how to access and use the Quick, Draw! Dataset.

  6.1k20456930

• mdbloice/Augmentor

  Image augmentation library in Python for machine learning.

  Language:Python5k123194867

• deepmind/dm_control

  DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  Language:Python3.3k128356620

• parrt/dtreeviz

  A python library for decision tree visualization and model interpretation.

  Language:Jupyter Notebook2.9k46203335

• rasbt/deep-learning-book

  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

  Language:Jupyter Notebook2.8k2088752

• Machine-Learning-Tokyo/Interactive_Tools

  Interactive Tools for Machine Learning, Deep Learning and Math

  2.2k791277

• facebookresearch/frankmocap

  A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

  Language:Python2.1k67206373

• mil-tokyo/webdnn

  The Fastest DNN Running Framework on Web Browser

  Language:TypeScript2k60388146

• melodyguan/enas

  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

  Language:Python1.6k76115390

• bioinf-jku/SNNs

  Tutorials and implementations for "Self-normalizing networks"

  Language:Jupyter Notebook1.6k7116199

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k44123281

• scikit-learn-contrib/metric-learn

  Metric learning algorithms in Python

  Language:Python1.4k46163232

• rois-codh/kmnist

  Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

  Language:Python681222095

• google-research/nasbench

  NASBench: A Neural Architecture Search Dataset and Benchmark

  Language:Python6781924126

• ajbrock/SMASH

  An experimental technique for efficiently exploring neural architectures.

  Language:Python48720557

• eyounx/ZOOpt

  A python package of Zeroth-Order Optimization (ZOOpt)

  Language:Python3962616100

• amirbar/speech2gesture

  code for training the models from the paper "Learning Individual Styles of Conversational Gestures"

  Language:Python361272541

• mingyuliutw/cvpr2017_gan_tutorial

  CVPR'17 GAN Tutorial

  21616037

• komi1230/Resume

  komi1230's Resume

  207304

• Valkyrja3607/tuning_playbook_ja

  ディープラーニングモデルの性能を体系的に最大化するためのプレイブック

  161304

• PatrykChrabaszcz/Imagenet32_Scripts

  Scripts for Imagenet 32 dataset

  Language:Python1486947

• josephch405/ML-Playground

  A Playground for machine learning techniques

  Language:JavaScript1345167

• hardmaru/backprop-neat-js

  Neural Network Evolution Playground with Backprop NEAT

  Language:JavaScript1307321

• mfbalin/Concrete-Autoencoders

  Language:Jupyter Notebook11061631

• sg-nm/cgp-cnn

  A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

  Language:Python7591227

• cavalab/feat

  A feature engineering automation tool for learning data representations

  Language:C++301018014

• pfnet/intern-coding-tasks

  Language:HTML286401