Alternatives and similar repositories for Network_Science_Meets_Deep_Learning

Users that are interested in Network_Science_Meets_Deep_Learning are comparing it to the libraries listed below

• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 7 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 7 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆102Updated 5 years ago
• alxndrkalinin / angiodysplasia-segmentation
  Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
  ☆16Updated 6 years ago
• sayakpaul / Benchmarking-and-MLI-experiments-on-the-Adult-dataset
  Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
  ☆35Updated 6 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 4 years ago
• Santosh-Gupta / Research2Vec
  Representing research papers as vectors / latent representations.
  ☆198Updated 4 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆67Updated 6 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 7 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆242Updated 3 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆108Updated 5 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 6 years ago
• radekosmulski / python_musings
  ☆36Updated 6 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆122Updated 8 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated last week
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆129Updated 3 years ago
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 8 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• vyraun / Megalodon
  Various ML/DL Resources organised at a single place.
  ☆189Updated 4 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆183Updated 6 years ago