Reverse Dependencies of GPUtil

The following projects have a declared dependency on GPUtil:

• abdutils — A bag of utility functions.
• acids-msprior — MSPRIOR: A multiscale prior model for realtime temporal learning
• acids-rave — RAVE: a Realtime Audio Variatione autoEncoder
• actorch — Deep reinforcement learning framework for fast prototyping based on PyTorch
• adams — this is a program for fast protein structure search
• ai-economist — Foundation: An Economics Simulation Framework
• ai-models — A package to run AI weather models.
• ai-models-gfs — A package to run AI weather models.
• ai-serving-server — Mapping a variable-length sentence to a fixed-length vector using BERT model (Server)
• aicmder — a simple ai cmder
• ailab — An environment to manage all your running ai experiments across multiple computers.
• airosentris — A sentiment analysis platform with AI runner and trainer components
• altadb — AltaDB platform Python SDK!
• astar-devopstool — Python devopstool
• audio-scribe — A command-line tool for audio transcription with Whisper and Pyannote.
• auto-ts — Automatically Build Multiple Time Series models fast - now with Facebook Prophet!
• autoparis — Python package for Autoparis Workflow.
• autotune — Hyperparameter tuning
• avalanche-lib — Avalanche: a Comprehensive Framework for Continual Learning Research
• baconian — model-based reinforcement learning toolbox
• bert-base — Use Google's BERT for Chinese natural language processing tasks such as named entity recognition and provide server services
• bert-multitask-server — A service to serve bert_multitask_learning models(server)
• bert-serving-multilingual-server — Mapping a variable-length sentence to a fixed-length vector using BERT model (Server)
• bert-serving-server — Mapping a variable-length sentence to a fixed-length vector using BERT model (Server)
• Bert2TF — ('A framework for user easy to load pre trained models with tensorflow keras, like bert gpt2 etc',)
• beta-rec — Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
• bitfount — Machine Learning and Federated Learning Library.
• cam-tool — Cloud Assignment Manager Tool
• carla-gym — Multi-agent reinforcement learning interface for CARLA Autonomous Driving simulator compatible with PettingZoo.
• cdt — A Toolbox for causal graph inference
• chia — Concept Hierarchies for Incremental and Active Learning
• Chocolate-App — no summary
• clusterops — Paper - Pytorch
• cohere-core — no summary
• colpali-engine — The code used to train and run inference with the ColPali architecture.
• coredotcloud — A simple system monitoring tool for CoreDotCloud
• cuBNM — A toolbox for biophysical network modeling on GPUs
• cycoda — no summary
• d3m — project
• daliuge-common — Data Activated 流 (flow) Graph Engine - Common functionality
• data-toolkit — ML & data helper code!
• DataFed-TorchFlow — Add a short description here!
• deepcomp — DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)
• deepmodels — framework for build, train and test deep learning models
• DeepMuon — Interdisciplinary Deep Learning Platform
• deeptech — A library to help writing ai functions with ease.
• delphi.ai — Package for Robust Statistics
• devsnets — Devsnets
• dexp — Light-sheet Dataset EXploration and Processing
• discord-system-observer-bot — A Discord bot that observes a local machine, issues warnings and can be queries from Discord chat.
• distributed-computing — Distributed GPU computing with python
• drMD — drMD: Molecular Dynamics for Protein Scientists
• dryml — Don't Repeat Yourself Machine Learning: A Machine Learning library to reduce code duplication, and increase portability and interoperability in the Machine Learning Space.
• effective-horizon — Code for the NeurIPS 2023 paper "Bridging RL Theory and Practice with the Effective horizon" and the ICLR 2024 paper "The Effective Horizon Explains Deep RL Performance in Stochastic Environments".
• emphases — Crowdsourced and Automatic Speech Prominence Estimation
• esa-local-llm — ESA Local-LLM is a llama.cpp server in Docker with OpenAI Style Endpoints.
• exp — Python tool do design and run experiments with global optimisation and grid search
• face-rhythm — A pipeline for analysis of facial behavior using optical flow
• factory-sdk — factory SDK
• fave-asr — Automated transcription and diarization of linguistic data
• fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• feloopy — FelooPy: Efficient and feature-rich integrated decision environment
• fibad — no summary
• finrl-meta — FinRL­-Meta: A Universe of ­ Market En­vironments for Data­-Driven Financial Reinforcement Learning
• flowlogger — This is a small library for logging while training ML. Current version is 0.2.2, its a feature-poor pre-alpha.
• flwr-monitoring — A package for monitoring Flower federated learning framework using Prometheus and WandB
• FranKGraphBench — pip install package for frankgraphbench.
• geniusrise — An LLM framework
• geniusrise-listeners — listeners bolts for geniusrise
• gibson2 — no summary
• giotto-llm — Wrapper of many OS libraries to finetune LLMs and run them in inference mode efficiently.
• gnes — GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
• gpu-sentinel — Monitor idle GPU usage.
• gpumon — A simple GPU monitoring tool.
• guro — A Simple System Monitoring & Benchmarking Toolkit
• heart-library — Hardened Extension of the Adversarial Robustness Toolbox (HEART) supports assessment of adversarial AI vulnerabilities in Test & Evaluation workflows.
• HTPolyNet — Automated MD System Builder for Amorphous Network Polymers
• humbug — Humbug: Do you build developer tools? Humbug helps you know your users.
• hypo-run — A CLI tool to run the complex experiments
• ibm-watson-machine-learning — IBM Watson Machine Learning API Client
• ibm-watsonx-ai — IBM watsonx.ai API Client
• ice-learn — A high-level Deep Learning framework that extends PyTorch and PyCUDA.
• icland — Recreating Google DeepMind's XLand RL environment in JAX
• imsy-htc — Framework for automatic classification and segmentation of hyperspectral images.
• inex-library — A comprehensive Python library for AI integration, web development with FastAPI/Flask, advanced encryption, secure database management, file operations, library development, text styling, system management, translation services, video creation, web automation, and cryptocurrency token analysis. Features include JWT handling, password management, rate limiting, input sanitization, and more.
• infirunner — no summary
• InternEvo — an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies
• ivystar — python tools package of ivystar
• jina — Jina (v%s) is a cloud-native semantic search engine powered by deep neural networks.It provides a universal solution of large-scale index and query for media contents.
• KSSDS — Korean Sentence Splitter for Dialogue Systems
• lazyqml — LazyQML benchmarking utility to test quantum machine learning models.
• leanai — A library to help writing ai functions with ease.
• lh-tool — A tool package
• livedc — Useful mathmatical models/caculators for daily life and cloud deployment
• llm-bench — LLM Benchmarking tool for OLLAMA
• llm_benchmark — LLM Benchmark
• llmtop — LLM-powered system monitoring with real-time performance insights
• local-llm — Local-LLM is a llama.cpp server in Docker with OpenAI Style Endpoints.
• loreme — Extract Methylation calls from ONT or PB long read data
• macad-gym — Learning environments for Multi-Agent Connected Autonomous Driving (MACAD) with OpenAI Gym compatible interfaces