Alternatives and similar repositories for cs534:

Users that are interested in cs534 are comparing it to the libraries listed below

• pbiecek / xai_stories
  XAI Stories. Case studies for eXplainable Artificial Intelligence
  ☆29Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 5 years ago
• RamiKrispin / covid19sf
  R package for tracking Covid19 cases in San Francisco
  ☆12Updated 2 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• rasbt / 2021-pydata-jeddah
  Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
  ☆19Updated 3 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 6 years ago
• andrewwlong / odsc_workshop
  Clinical NLP workshop for ODSC
  ☆39Updated 5 years ago
• canyon289 / causal_inf_bookclub
  Supporting material for the book club
  ☆15Updated 2 years ago
• yubin-park / pharmpy
  pharmpy is an umbrella library for searching the FDA NDC directory, Established Pharmacologic Class (EPC), Anatomical Therapeutic Chemica…
  ☆16Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• slundberg / IntegratedGradients
  Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …
  ☆9Updated 7 years ago
• thejat / mlops-code-examples
  ☆24Updated last month
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago
• bhimmetoglu / Pancake
  Pancake is a Python package which provides a simple API to stack scikit-learn models.
  ☆28Updated 6 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• sayakpaul / Adversarial-Examples-in-Deep-Learning
  Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
  ☆13Updated 4 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• jesford / testing-in-data-science
  Intro to Testing in Data Science Tutorial
  ☆35Updated 3 years ago
• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated last year
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 5 years ago