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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Repo for the Deep Reinforcement Learning Nanodegree program
A simple notebook demonstrating prompt-based music generation via Mubert API
Automatic Generation of Visualizations and Infographics using Large Language Models
A Stable Diffusion desktop frontend with inpainting, img2img and more!
Code for the online course "Deployment of Machine Learning Models"
Set of scripts and notebooks used to produce results visible in RecipeNLG paper
Restoring and attributing ancient texts using deep neural networks
The hands-on NLTK tutorial for NLP in Python
Analyze documents with Amazon Textract and generate output in multiple formats.
Realistic Handwriting with Tensorflow
Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications
This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
An API for identifying cougars v.s. bobcats v.s. other USA cat species
All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
Notebook for running GPT neo models based on GPT3
ICCV 2023 - Neural Collage Transfer: Artistic Reconstruction via Material Manipulation
Set of models to generate fantasy historic narratives
A simple algorithm for taking a crack at sentiment analysis
Reinforcement Learning Agents to Play The Board Game Santorini