Codes/Notebooks for AI Projects
- Updated
Nov 12, 2025 - Jupyter Notebook
Artificial neural networks (ANN) are computational systems that βlearnβ to perform tasks by considering examples, generally without being programmed with any task-specific rules.
Codes/Notebooks for AI Projects
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Ψ―ΩΨ±Ω Ψ¬Ψ§Ω ΨΉ ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ ΨΉΩ ΫΩ Ψ¨Ψ§ Tensorflow Ω Keras
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Various notebooks we're working on from either our blog cfe.sh/blog or as general research.
Demonstration notebooks for Machine Learning
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Neural Turing Machines (NTM) - PyTorch Implementation
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Implementation of a series of Neural Network architectures in TensorFow 2.0
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
The VGG16 and VGG19 networks in caffe with jupyter notebook
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
Estudo e implementaΓ§Γ£o dos principais algoritmos de Machine Learning em Jupyter Notebooks.
A simple Neural Network that learns to predict the XOR logic gates.
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
A collection of #MachineLearning #Python Notebooks π€ ππ that can be launched to the βοΈ for use and experimentation. No setup needed, just launch it π