Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Hands on Gen AI with AWS and Anthropic Book by Ngesa Marvin, First Edition

Notebooks for the Practicals at the Deep Learning Indaba 2024.

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.

Implementing a ChatGPT-like LLM from scratch, step by step

Understanding Deep Learning - Simon J.D. Prince

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX

DL course co-developed by YSDA, HSE and Skoltech

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Language model alignment-focused deep learning curriculum

Notebooks for the Practicals at the Deep Learning Indaba 2023.

Starter project code for students taking Udacity ud120

Modern Generative AI with ChatGPT and OpenAI Models, published by Packt

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

Determined: Deep Learning Training Platform

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Generative Art Generator

Building Industrial Digital Twin - Packt Publishing

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Slides that accompany "A First Look at Rigorous Probability Theory" by Jeffrey Rosenthal

The Science Twitter Graph

mlim Multiple Imputation Handbook

Notebooks for the Practicals at the Deep Learning Indaba 2022.

Example application code for the python architecture book

The country converter (coco) - a Python package for converting country names between different classification schemes.