Dave Powell's Projects
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Mat's Blog
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Applied Machine Learning Explainability Techniques, published by Packt
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Deep Learning Meetup in Austin, TX
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
accessible AutoML for deep learning.
🎆 A visualization of the CapsNet layers to better understand how it works
A repository of 60 useful data science prompts for ChatGPT
Data Analysis Using Python
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Machine learning datasets used in tutorials on MachineLearningMastery.com
Deep Learning Specialization by Andrew Ng on Coursera.
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
Notebooks for learning deep learning
TensorFlow documentation
Here lies all the exercises I implement and share in my website
Drag & drop UI to build your customized LLM flow
Implementation of Graph Convolutional Networks in TensorFlow
Grok open release
JavaScript Robotics and IoT programming framework, developed at Bocoup.