Reverse Dependencies of pycuda

The following projects have a declared dependency on pycuda:

• aiearth-predict — AIEarth Spatio-temporal data and AI development kit
• bnpm — A library of useful modules for data analysis.
• caspyr — Cinchingly awesome scripts of Pythonic rapture
• cuda-slic — CUDA implementation of the SLIC segmentaion algorithm.
• cutex — PyCUDA based PyTorch Extension Made Easy
• cuvarbase — Period-finding and variability on the GPU
• darklight — A library for accelerating knowledge distillation training
• deepdrr — A Catalyst for Machine Learning in Fluoroscopy-guided Procedures.
• deepop — A mini Tensor framework for tensor operations on GPU.
• deeprank — Rank Protein-Protein Interactions using Deep Learning
• diagonals — Compute diagnostics targeting the CPU or the GPU
• dlg-lowpass-components — Awesome dlg_lowpass_components created by pritchardn
• dolphin-python — Cuda based library for fast and seamless deep learning inference.
• efficient-linear-decoding — Efficient computation library for linear attention.
• efficientbioai — efficientbioai is a python package for efficient deep learning in bioimaging
• elephant — Elephant is a package for analysis of electrophysiology data in Python
• ffmpegcv — no summary
• flatspin — Artificial Spin Ice simulator
• grunnur — Uniform API for PyOpenCL and PyCUDA.
• japanAirAnalytics — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• katsdpsigproc — Karoo Array Telescope accelerated signal processing tools
• kernel_tuner — An easy to use CUDA/OpenCL kernel tuner in Python
• libhum — Libhum is a Python GPU-accelerated library to extract and compare Electricity Frequency Signals (ENF)
• ManipulaPy — A package for robotic serial manipulator operations
• meta-person — Meta Person Toolkit
• meta-reid — Meta Reid Toolkit
• meta-trt — Meta Trt Toolkit
• Mits-AI-Dreamers — This is Hamming distance, Jaccard coefficient, overlap
• nabu — Nabu - Tomography software
• ndicom-cuda-kmeans — no summary
• neurenix — Empowering Intelligent Futures, One Edge at a Time.
• neurokernel — An open architecture for Drosophila brain emulation
• nsface-python — Test Face model
• nufhe — A GPU implementation of fully homomorphic encryption on torus
• pami — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• pecebl — eBeam Lithography simulation and Proximity Effect Correction
• psyneulink — A block modeling system for cognitive neuroscience
• PyCBC — Core library to analyze gravitational-wave data, find signals, and study their parameters.
• pycuda-plus — User-friendly library to enhance PyCUDA functionality
• pycuga — Python Cuda Genetic Algorithm Package
• PyFstat — a python package for gravitational wave analysis with the F-statistic
• pyralysis — PYthon Radio Astronomy anaLYSis and Image Synthesis
• pyTorchAutoForge — PyTorchAutoForge library is based on raw PyTorch and designed automate DNN development, model tracking and deployment, tightly integrated with MLflow and Optuna. It supports Spiking networks libraries (WIP). Deployment can be performed using ONNx, pyTorch facilities or TensorRT (WIP). The library is designed to be compatible with Jetson Orin Nano Jetpack rev6.1, with bash script to automatically configure virtualenv.
• quantumsim — Simulation of quantum circuits under somewhat realistic condititons
• rl-warp-drive — Framework for fast end-to-end multi-agent reinforcement learning on GPUs.
• roboml — Machine learning models optimized for robotics experimentation and deployment
• s1280247-learn2 — This ssoftware is being developd in the Python Class, University of Aizu.
• s1282003-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1282006-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1290166-learn — This software is being developed by Hiroyuki Matushima
• s1290229-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1290242-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1292013-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1300180-learn — This software was made for my class
• s1300257-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1300259-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• sasmodels — sasmodels package
• scikit-cuda — Python interface to GPU-powered libraries
• simscore — This software is being developed at the Madanapalle Institute of Technology & Science.
• SMUTHI — Light scattering by multiple particles in thin-film systems
• ssnp — Split-step non-paraxial beam propagation simulation package
• system-query — Comprehensive and concise system information querying tool.
• tomwer — "tomography workflow tools"
• unrollcuda — Loop unrolling and batching for CUDA
• video_sampler — Video Sampler -- sample frames from a video file
• vis-cpu — Fast visibility simulator with interface to CPU and GPU
• vkgdr — Use Vulkan to allocate CUDA memory that is writable from the host
• watsor — Object detection for video surveillance
• wordvecspace — A high performance pure python module that helps in loading and performing operations on word vector spaces created using Google's Word2vec tool. It also supports converting word vector space data (vectors and vocabulary) from Google Word2Vec format to WordVecSpace format.
• WrightSim — A simulation package for multidimensional spectroscopy.
• zensols.dltools — General deep learing utility library