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Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
Best Practices on Recommendation Systems
Simple, unified interface to multiple Generative AI providers
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.
Code samples for my book "Neural Networks and Deep Learning"
Video+code lecture on building nanoGPT from scratch
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
giswqs / Xee
Forked from google/XeeAn Xarray extension for Google Earth Engine
Winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge
The repo contains the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.
Docker - Beginners | Intermediate | Advanced
This repository extracts historical remotely sensed lake surface temperature from the Landsat 8 provisional surface temperature product on Google Earth Engine.
LakePIAB (Lake Physics in a Box) - a Modular Compositional Learning framework combining process-based model formulations and deep learning to simulate 1D vertical water temperature dynamics
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
EnMAP Processing Tool - A Python package for pre-processing of EnMAP Level-1B data
12 Weeks, 24 Lessons, AI for All!