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The simplest but fast implementation of matrix multiplication in CUDA.
A Python framework for accelerated simulation, data generation and spatial computing.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
A JAX research toolkit for building, editing, and visualizing neural networks.
Collection of important articles to be treated as a textbook
Hydra is a framework for elegantly configuring complex applications
Python 3.8+ toolbox for submitting jobs to Slurm
A fast and lightweight native programming language
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
Build AI-native spreadsheets. Univer is a full-stack framework for creating and editing spreadsheets on both web and server. With Univer MCP, Univer Spreadsheets is driven directly through natural …
🎥 Make videos programmatically with React
Goldman Sachs - Quantitative Strategies Research Notes
A collection of websites to spark creativity
A JavaScript library to position floating elements and create interactions for them.
A game theoretic approach to explain the output of any machine learning model.
Make your JSON data collaborative and version-controlled with CRDTs
Real world text editing traces for benchmarking CRDT and Rope data structures
A blazingly fast multi-language serialization framework powered by JIT and zero-copy.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
