Alternatives and similar repositories for ML_Fairness_Ethics_Explainability

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

• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆24Updated 5 years ago
• Machine-Learning-Tokyo / paper_readings
  Material for the Paper Reading sessions organized by Machine Learning Tokyo
  ☆14Updated 5 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• morganmcg1 / kaggle_rsna_2nd_place_solution
  Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
  ☆30Updated 5 years ago
• sayakpaul / Malaria-Detection-with-Deep-Learning
  Deep learning based solution to automatically analyze medical images for malaria testing
  ☆14Updated 6 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• Machine-Learning-Tokyo / ML-Math
  Mathematics for Machine Learning
  ☆29Updated 4 years ago
• Machine-Learning-Tokyo / ML_Math
  This repo contains resources from our MLT math lectures.
  ☆14Updated 5 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆49Updated 5 years ago
• The-AI-Summer / deep-learning-visuals
  A collection of 100 Deep Learning images and visualizations
  ☆79Updated 4 years ago
• omarsar / pytorch_neural_machine_translation_attention
  Neural Machine Translation with Attention (PyTorch)
  ☆45Updated 6 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 5 years ago
• fastai / book.fast.ai
  Information for readers of the fastai book
  ☆68Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• kunalj101 / wns_analytics_wizard_2019
  Winners' solution approach and code for WNS Analytics Wizard 2019
  ☆11Updated 2 years ago
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 6 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆144Updated 4 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆139Updated 5 years ago
• zkid18 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆17Updated 3 years ago
• jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
  Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…
  ☆26Updated 5 years ago
• intelligencefoundation / SaraswatiAI
  Saraswati AI | Superhuman (AI) Teacher: All of Education, for All
  ☆40Updated 4 years ago
• muellerzr / fastai2_tabular_hybrid
  Developing and integrating methods for fastai2 tabular with other datatypes
  ☆26Updated 2 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 4 years ago
• RubensZimbres / Repo-2019
  BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natura…
  ☆139Updated 4 years ago
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 3 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• SGNovice / Disease-detection-using-chest-xrays
  For the demo. Click on the link.
  ☆77Updated 2 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago