Alternatives and similar repositories for models-from-scratch-python:

Users that are interested in models-from-scratch-python are comparing it to the libraries listed below

• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆50Updated 5 months ago
• PacktPublishing / Modern-Graph-Theory-Algorithms-with-Python
  Modern Graph Theory Algorithms with Python, published by Packt
  ☆24Updated 7 months ago
• prsdm / mlops-project
  ☆98Updated 2 months ago
• jeffheaton / app_generative_ai
  T81-559: Applications of Generative Artificial Intelligence
  ☆120Updated last week
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆240Updated 8 months ago
• kylegallatin / ml-python-cookbook-runner
  Dockerized Jupyter notebook to run commands from the ML Python Cookbook
  ☆38Updated last year
• 5x12 / course-prodml
  ☆52Updated 5 months ago
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆202Updated 5 months ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆96Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆91Updated 10 months ago
• arj7192 / MasteringPyTorchV2
  ☆111Updated 7 months ago
• towardsai / ai-tutor-rag-system
  This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
  ☆178Updated this week
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆77Updated last year
• youssefHosni / Hands-On-LLM-Fine-Tuning
  Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques
  ☆129Updated 3 months ago
• MaxRobinsonTheGreat / ManimApproximations
  ☆71Updated last year
• 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
  ☆100Updated last year
• deshwalmahesh / ML-Models-from-Scratch
  Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…
  ☆42Updated 2 months ago
• PacktPublishing / Mastering-NLP-from-Foundations-to-LLMs
  Mastering NLP from Foundations to LLMs, Published by Packt
  ☆80Updated 4 months ago
• PacktPublishing / Streamlit-Cookbook
  Streamlit Cookbook, published by Packt
  ☆13Updated last month
• abhinav-kimothi / A-Simple-Guide-to-RAG
  This repository is the source code for examples and illustrations discussed in the book - A Simple Introduction to Retrieval Augmented Ge…
  ☆143Updated 3 months ago
• pycaret / examples
  Example Notebooks contributed by pycaret community!
  ☆38Updated last year
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆164Updated 4 months ago
• jeffheaton / app_deep_learning
  T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
  ☆410Updated last week
• amanchadha / llm-course
  Course on LLMs: Building Personalized Customer Chatbots •
  ☆26Updated 8 months ago
• Sentdex / neural-net-internals-visualized
  Visualizing some of the internals of a neural network during training and inference.
  ☆73Updated 11 months ago
• rasbt / MachineLearning-QandAI-book
  Machine Learning Q and AI book
  ☆371Updated 4 months ago
• FrancoisPorcher / awesome-ai-tutorials
  The best collection of AI tutorials to make you a boss of Data Science!
  ☆79Updated last month
• Paulescu / taxi-data-api-python
  Build and deploy a REST API for taxi trip data 🚕
  ☆66Updated 2 months ago
• packtjaniceg / Python-Machine-Learning-by-Example-Fourth-Edition
  Python Machine Learning by Example, Fourth Edition
  ☆41Updated 7 months ago
• Coder-World04 / Complete-Deep-Learning-with-Projects-Series-
  This repository contains everything you need to become proficient in Deep Learning
  ☆91Updated last year