Alternatives and similar repositories for CDS

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

• navneetkrc / Deep-Learning-Experiments-implemented-using-Google-Colab
  Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
  ☆21Updated 8 months ago
• EricSchles / datascience_book
  ☆134Updated last year
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• ritchieng / the-incredible-tensorflow
  The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
  ☆30Updated 6 years ago
• yingpublic / RMI-AI
  ☆19Updated 5 years ago
• yanneta / ML-notebooks
  Here are notebooks for the advanced machine learning course for MSDS at USF.
  ☆46Updated last year
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 7 years ago
• omarsar / nlp_pycon
  Material for PyCon 2019 NLP Tutorial
  ☆32Updated 6 years ago
• mykabir / COVID19
  ☆26Updated 4 years ago
• firmai / business-machine-learning-vendors
  A directory of the top business machine learning vendors
  ☆15Updated 4 years ago
• lukanovak93 / advanced-machine-learning-specialization
  Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
  ☆35Updated 3 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 6 years ago
• tirthajyoti / Covid-19-analysis
  Analysis with Covid-19 data
  ☆59Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 6 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆75Updated 6 years ago
• firmai / business-analytics-and-mathematics-python-book
  Advanced Business Analytics and Mathematics with Python (by @firmai)
  ☆135Updated 4 years ago
• firmai / reddit-data-science-project-ideas
  Reddit Data Science Project Ideas
  ☆11Updated 6 years ago
• smsubrahmannian / Topic-Modeling
  ☆20Updated 7 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 5 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• muellerzr / nbdev_colab
  Utilizing nbdev in Google Colaboratory
  ☆14Updated 2 years ago
• IBM / predict-insurance-charges-with-autoai
  Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.
  ☆48Updated 3 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 6 years ago
• Elsemary / Actuarial-Reserve-Risk-Classification-with-Gaussian-Mixture
  Classification of reserve risk with chain-ladder
  ☆12Updated 6 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 5 years ago