Alternatives and similar repositories for neural-networks-for-data-science

Users that are interested in neural-networks-for-data-science are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆62Updated 6 months ago
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆48Updated 6 months ago
• DSML-book / Programs
  Programs
  ☆116Updated 9 months ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆139Updated 5 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆244Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• parulnith / Data-Science-Articles
  A collection of my blogs on Data Science and Machine learning.
  ☆85Updated 8 months ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated 2 years ago
• mallahyari / ml_tutorial
  This repository explains machine learning concepts
  ☆55Updated last year
• lewtun / dslectures
  Course materials for introductory data science
  ☆62Updated 2 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆284Updated 4 years ago
• VincentGranville / Point-Processes
  This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …
  ☆52Updated 2 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆88Updated 2 years ago
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆76Updated 3 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated 4 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆260Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆71Updated last year
• Hadar933 / Intro-to-Deep-Learning
  Lecture notes & Exercises
  ☆45Updated 3 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last year
• ekochmar / Getting-Started-with-NLP
  This repository accompanies the book "Getting Started with Natural Language Processing"
  ☆98Updated last year
• PacktPublishing / Machine-Learning-Using-TensorFlow-Cookbook
  Machine Learning Using TensorFlow Cookbook, published by Packt
  ☆69Updated 2 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆88Updated 6 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆71Updated 2 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• The-AI-Summer / Introduction-to-Deep-Learning-and-Neural-Networks-Course
  Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
  ☆46Updated 3 years ago
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago