A curated list of trustworthy deep learning papers. Daily updating...
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.
Zero-dependency browser automation CLI. 70+ commands, 10 test assertions, smart commands (click/fill by text — no LLM needed). MCP server for AI agents with 500x fewer tokens. Extract, observe, script runner. 50KB, pure CDP.
[ACM e-Energy'24] Code and data for "FedZero: Leveraging Renewable Excess Energy in Federated Learning"
Use local Large Language Models (LLMs) while monitoring energy usage.
Distributed LLM pretraining during renewable curtailment windows 🌱
GATorch is a tool seamlessly integrated with PyTorch that enables ML developers to generate an energy consumption report. By attaching your model, the tool automatically tracks the energy consumption of your model's training and generates graphs and plots to gain in-depth insights into the energy consumption of your model.
A curated list of Green AI resources.
A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).
Know the true energy cost of your code
Research-ready and production-friendly neural network pruning for PyTorch—transparent methods, reproducible baselines, and deployment metrics to compress models for real-world use.
A Grafana panel to monitor the carbon footprint of AWS, GCP and Azure instances. Maintains a list of data centres and their energy sources, and computes CO2e emissions by sampling energy consumption of CPU, GPU and DRAM.
Adaptive Sparse Training (AST): 92.1% ImageNet-100 accuracy with 61% energy savings and zero degradation. Production-ready implementations for energy-efficient deep learning with ResNet50 and modern architectures.
Mapping the Landscape of AI, ML, and DL in Climate Change Research
Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.
🌱 Estimate the environmental footprint of GenAI with EcoLogits API
Guidelines to deploy AI models in different cloud providers aligned with green AI goals.
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