Alex Ryan's repositories
privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
lung_histopathological_image_classifier
Lung Histopathological Image Classifier using TensorFlow
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
practical-statistics-for-data-scientists
Code repository for O'Reilly book
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
network-science
Practical assignments for the network science course
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
whisper
Robust Speech Recognition via Large-Scale Weak Supervision
DL.AI_chatgpt_prompt_engineering
ChatGPT Prompt Engineering for Developers short course by DeepLearning.AI
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
cs10dotnet6
Repository for the Packt Publishing book titled "C# 10 and .NET 6 - Modern Cross-Platform Development" by Mark J. Price
tiktok-hashtag-analysis
Provides tools to analyze hashtags within posts scraped from TikTok.
Gymnasium
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
bcaffo_courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
pro-c-sharp-9-w-.net-core-5
Source Code for 'Pro C# 9 with .NET 5' by Andrew Troelsen and Philip Japikse
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Data-Science-Projects-with-Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn