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sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems
A playbook for systematically maximizing the performance of deep learning models.
Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
The C++ Standard Library for Parallelism and Concurrency
Real-time usage monitor for Claude Code — session limits, weekly limits, and plan tier with colour-coded progress bars
Beads - A memory upgrade for your coding agent
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA te…
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
A computer science textbook
A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…
This is the top-level repository for the Accel-Sim framework.
A community repository of common plugin specifications
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Simplified implementation of UMAP like dimensionality reduction algorithm
Incremental fuzzy search motion plugin for Neovim
dperf: High-Performance Network Load Testing Tool Based on DPDK
Building blocks for foundation models.
ekxide / iceoryx2
Forked from eclipse-iceoryx/iceoryx2Eclipse iceoryx2™ - true zero-copy inter-process-communication in pure Rust