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PySAL: Python Spatial Analysis Library Meta-Package
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion
guenardg / adespatial
Forked from adeverse/adespatialMultivariate Multiscale Spatial Analysis
Rust Bootcamp Week 2: Rust fundamentals
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
A framework is provided to transparently develop R packages using Rust with minimal overhead, and more wrappers are easily added. Help is provided to run Cargo in a manner consistent with CRAN poli…
An R package that helps scaffolding extendr-enabled packages or compiling Rust code dynamically
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
A PyTorch-based tool to generate clouds for satellite images.
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Declarative statistical visualization library for Python
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
My solutions of Computer Systems: A Programmer’s Perspective, Third Edition (CS:APP3e) book, the text book for the course, CMU15-213: Introduction to Computer Systems.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"