Reverse Dependencies of cuda-python

The following projects have a declared dependency on cuda-python:

• cuda-core — cuda.core: (experimental) pythonic CUDA module
• fast_gauss — A geometry-shader-based, global CUDA sorted high-performance 3D Gaussian Splatting rasterizer. Can achieve a 5-10x speedup in rendering compared to the vanialla diff-gaussian-rasterization.
• hidet — Hidet: a compilation-based DNN inference framework.
• InferX — deep learning deploy framework
• kvikio-cu12 — KvikIO - GPUDirect Storage
• metadrive-simulator — An open-ended driving simulator with infinite scenes
• minestudio — A simple and efficient Minecraft development kit.
• nvidia-cutlass — CUTLASS
• phlash — Bayesian inference of population size history from recombining sequence data.
• pyIcarus — Tools library for Security Research
• rmm-cu12 — rmm - RAPIDS Memory Manager
• sglang — SGLang is yet another fast serving framework for large language models and vision language models.
• soft-nudge — A non invasive timer to give you a soft nudge in the right direction.
• spcm — Package for Spectrum Instrumentation GmbH cards
• spikeinterface — Python toolkit for analysis, visualization, and comparison of spike sorting output
• stgraph — 🌟 Vertex Centric approach for building GNN/TGNNs
• streamdiffusion — real-time interactive image generation pipeline
• TorchWindow — Display tensors directly from GPU
• tritonclient — Python client library and utilities for communicating with Triton Inference Server
• trtutils — Utilities for making TensorRT easier to use