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 with GFS initial conditions.
• 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
• 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.
• cuBNM — A toolbox for biophysical network modeling on GPUs
• cycoda — no summary
• d3m — project
• 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
• docker-run-cli — 'docker run' and 'docker exec' with useful defaults
• 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
• 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
• 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.
• 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.
• imsy-htc — Framework for automatic classification and segmentation of hyperspectral images.
• 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.
• lazyqml — LazyQML benchmarking utility to test quantum machine learning models.
• leanai — A library to help writing ai functions with ease.
• livedc — Useful mathmatical models/caculators for daily life and cloud deployment
• llm-bench — LLM Benchmarking tool for OLLAMA
• llm_benchmark — LLM Benchmark for Throughputs via Ollama
• 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
• machin — Reinforcement learning library
• maestror — no summary
• mantik — mantik for mlflow
• mappertrac — Probabilistic tractography for high-performance computing
• mccode_antlr — ANTLR4 grammars for McStas and McXtrace
• MDSuite — A postprocessing tool for molecular dynamics simulations.
• mecord-cli — mecord tools
• ML-Inz-example — A project with Flask backend and ML service for search answers in documents.
• ml-swissknife — Reusable ML research primitives for fast prototyping.
• mlauto — no summary