Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-green-ai
A curated list of awesome Green AI resources and tools to reduce the environmental impacts of using and deploying AI.
https://github.com/samuelrince/awesome-green-ai
- CodeCarbon - black?style=flat&logo=linux)    
- carbontracker - black?style=flat&logo=linux) 
- Eco2AI - black?style=flat&logo=linux) 
- Zeus - black?style=flat&logo=linux) 
- Tracarbon - black?style=flat&logo=linux)  
- EcoLogits - black?style=flat&logo=linux)   
- AIPowerMeter - black?style=flat&logo=linux) 
- carbonai - black?style=flat&logo=linux)   
- experiment-impact-tracker - in method to track energy usage, carbon emissions, and compute utilization of your system.<br>  
- GATorch - Aware PyTorch Extension.<br>  
- GPU Meter - black?style=flat&logo=linux) 
- PyJoules - black?style=flat&logo=linux) 
- Scaphandre - black?style=flat&logo=linux)  
- PowerJoular - black?style=flat&logo=linux)   
- Boagent - black?style=flat&logo=linux)
- vJoule - black?style=flat&logo=linux)  
- jupyter-power-usage - black?style=flat&logo=linux) 
- Zeus - black?style=flat&logo=linux) 
- GEOPM - black?style=flat&logo=nvidia) 
- Green Algorithms - A tool to easily estimate the carbon footprint of a project.
- ML CO2 Impact - Compute model emissions and add the results to your paper with our generated latex template.
- EcoLogits Calculator - Estimate energy consumption and environmental impacts of LLM inference.
- MLCarbon - End-to-end carbon footprint modeling tool.
- GenAI Carbon Footprint - A tool to estimate energy use (kWh) and carbon emissions (gCO2eq) from LLM usage.
- Boaviztapi - Multi-criteria impacts of compute resources taking into account manufacturing and usage.
- Datavizta - Compute resources data explorer not limited to AI.
- EcoDiag - Compute carbon footprint of IT resources taking into account manufactuing and usage (🇫🇷 only).
- Strubell et al. (2019)
- Lacoste et al. (2019)
- Anthony et al. (2020)
- Schwartz et al. (2020)
- Patterson, et al. (2021)
- Lannelongue et al. (2021)
- Kaack et al. (2021)
- Ligozat et al. (2021)
- Bannour et al.(2021)
- Xu et al. (2021)
- Ligozat et al. (2022)
- Dodge et al. (2022)
- Luccioni et al. (2022)
- Hessenthaler et al. (2022)
- Budennyy et al. (2022)
- Lefèvre et al. (2022)
- Wu et al. (2022)
- Patterson et al. (2022)
- Henderson et al. (2022)
- Pachot et al. (2022)
- Delanoë et al. (2023)
- Luccioni et al. (2023)
- Li et al. (2023)
- You et al. (2023)
- Yang et al. (2023)
- Li et al. (2023)
- Faiz et al. (2023)
- Castano et al. (2023)
- Luccioni et al. (2023)
- Chung et al. (2023)
- Jagannadharao et al. (2023)
- Berthelot et al. (2024)
- Stojkovic et al. (2024)
- Liu et al. (2024)
- Lang et al. (2024)
- Wu et al. (2024)
Programming Languages
Keywords
energy-consumption
6
sustainability
5
energy
4
carbon-footprint
3
electricity-consumption
2
python
2
energy-efficiency
2
power
2
rapl
2
intel-rapl
1
pytorch
1
green-ai
1
electricity
1
electricity-meter
1
energy-monitor
1
greenit
1
power-consumption-measurement
1
machine-learning
1
ghg
1
esg
1
environment
1
emission-tracker
1
deep-learning
1
co2-monitoring
1
co2-emissions
1
carbon-emissions
1
openapi
1
telemetry
1
service
1
power-management
1
hpc
1
high-performance-computing
1
hardware
1
control-systems
1
jupyterlab-extension
1
jupyterlab
1
jupyter
1
green-computing
1
emissions-co2
1
software
1
powerjoular
1
joular
1
green
1
ada
1
watts
1
wattmeter
1
virtual-machines
1
virtual-machine
1
rust-lang
1
rust
1