Starred repositories
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
Bayesian inference with probabilistic programming.
Introduction to Machine Learning Systems
Gambit: The package for computation in game theory
An optimized graphs package for the Julia programming language
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
Task manager with Todoist, Nextcloud & CalDAV support designed for GNOME
stdgpu: Efficient STL-like Data Structures on the GPU
Plotting for Julia based on GR, a framework for visualisation applications
Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression,…
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
A high performance Python graph library implemented in Rust.
Seamless operability between C++11 and Python
User and showcase agent-based models developed using Mesa
A Julia package for probability distributions and associated functions.
The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resources in your applications.
Scrapy, a fast high-level web crawling & scraping framework for Python.
A high performance agent-based modelling system for C++
Advanced Python Mastery (course by @dabeaz)
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
NVIDIA Math Libraries for the Python Ecosystem
C++ Implementation of PyTorch Tutorials for Everyone