Lists (10)
Stars
21 Lessons, Get Started Building with Generative AI
Anthropic's Interactive Prompt Engineering Tutorial
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
📡 Simple and ready-to-use tutorials for TensorFlow
YSDA course in Natural Language Processing
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A course in reinforcement learning in the wild
Notebooks for learning deep learning
Repo for the Deep Reinforcement Learning Nanodegree program
Segment Anything in Medical Images
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Code for the Make Your Own Neural Network book
3D U-Net model for volumetric semantic segmentation written in pytorch
Collection of notebook guides created by the Brev.dev team!
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Deep Learning Zero to All - Pytorch
A framework for data augmentation for 2D and 3D image classification and segmentation
Official implementation of SAM-Med2D
Modern Computer Vision with PyTorch, published by Packt
Deep Learning Illustrated (2020)
Python library for Multi-Armed Bandits
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
Transformers 3rd Edition