-
BRQ Digital Solutions / Universidade de São Paulo / Universidade Federal de São Carlos
- São Paulo, SP - Brazil
- https://www.linkedin.com/in/plbalmeida/
Block or Report
Block or report plbalmeida
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Evaluation and Tracking for LLM Experiments
Hyper-parameter optimization for sklearn
Codebase to train, pack, deploy and monitor ML models
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
MLOpsCommunity's reading group for _Practical MLOps_ by Noah Gift and Alfredo Deza
[Book-2021] Practical MLOps O'Reilly Book
Generative AI on AWS
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and t…
🌍 A curated list of APIs, open data and ML/AI projects on climate change
ESG-investment AI
🚀 Build and manage real-life ML, AI, and data science projects with ease!
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
Predictive Soil Mapping with R (book)
Machine learning to better predict and understand drought. Moving github.com/ml-clim
Data science for wildfire risk forecasting and monitoring
Global Maps of Potential Natural Vegetation based on Machine Learning
Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.
State space and deep generative models for time series.
Using optical flow & machine learning to predict PV yield
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
📺 Discover the latest machine learning / AI courses on YouTube.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Brazilian portuguese translation [WIP]
Scalable machine 🤖 learning for time series forecasting.