Alternatives and similar repositories for NothingButNumPy

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

• cosmic-cortex / neural-networks-from-scratch
  An implementation of convolutional networks in NumPy!
  ☆81Updated 4 years ago
• parrt / ml-articles
  Articles on machine learning
  ☆65Updated 3 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆162Updated 4 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 4 years ago
• PacktPublishing / Ensemble-Machine-Learning-Cookbook
  Ensemble Machine Learning Cookbook, published by Packt
  ☆60Updated 2 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated 3 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆80Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆110Updated last year
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆114Updated 2 months ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 6 years ago
• jefkine / zeta-learn
  zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
  ☆39Updated 4 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆109Updated 3 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆70Updated 4 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• huseinzol05 / Machine-Learning-Numpy
  Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…
  ☆108Updated 6 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• PacktPublishing / Neural-Networks-with-Keras-Cookbook
  Neural Networks with Keras Cookbook, published by Packt
  ☆51Updated 2 years ago
• Garima13a / Kalman-Filters
  Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…
  ☆92Updated 3 years ago
• muellerzr / fastblog
  My fastai blog
  ☆21Updated last year
• scitime / scitime
  Training time estimation for scikit-learn algorithms
  ☆124Updated 4 years ago
• rasbt / numpy-intro-blogarticle-2020
  Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
  ☆49Updated 4 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