Alternatives and similar repositories for ML_Notebooks

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

• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• shervinea / pytorch-data-generator
  Template for data generator with PyTorch
  ☆134Updated 6 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• Rakeshsuku / Medium-Blog
  Code files for my medium blog
  ☆17Updated 4 years ago
• aviolante / sas-python-work
  ☆74Updated 4 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• soroosh-rz / Bayesian-Methods-for-Machine-Learning
  Bayesian Methods for Machine Learning
  ☆64Updated 6 years ago
• TDehaene / blogposts
  Code collection for published blog posts
  ☆78Updated last year
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• DeepmindHub / python-
  ☆40Updated 8 years ago
• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆163Updated 2 years ago
• rasbt / model-eval-article-supplementary
  Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
  ☆71Updated 3 years ago
• rust0258 / Deeplearning.ai-GAN-Specialization-Generative-Adversarial-Networks
  This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
  ☆68Updated 4 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 years ago
• tensorchiefs / dl_book
  legend
  ☆205Updated last year
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆96Updated last year
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆86Updated 6 years ago
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆73Updated 7 years ago
• eugeniaring / Medium-Articles
  Repository with all my blog posts on data science and machine learning learning topics
  ☆80Updated 7 months ago
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 5 years ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 6 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆25Updated 3 years ago
• xuwd11 / Dropout_Tutorial_in_PyTorch
  Dropout as Regularization and Bayesian Approximation
  ☆59Updated 6 years ago
• kunalj101 / wns_analytics_wizard_2019
  Winners' solution approach and code for WNS Analytics Wizard 2019
  ☆11Updated 2 years ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆34Updated 7 years ago
• feifeife / All-about-XAI
  This repository is all about papers and tools of Explainable AI
  ☆36Updated 5 years ago
• luisguiserrano / hmm
  An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.you…
  ☆145Updated 2 years ago