Pinned Repositories
2012-paper-diginorm
Paper source, analysis notebook, and data generation/analysis scripts for diginorm paper
dissertacao
marielle
MercadoVovoZefa
Projeto em Java para gerenciamento de mercados
monografia
spark-data-analysis
storm-data-analysis
superset
Superset is a modern, enterprise-ready business intelligence web application
twitter-stream-data-analysis
fcas's Repositories
fcas/backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
fcas/bayeso
Simple, but essential Bayesian optimization package
fcas/BentoML
The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
fcas/bytehub
ByteHub: making feature stores simple
fcas/catalyst
Accelerated deep learning R&D
fcas/cornac
A Comparative Framework for Multimodal Recommender Systems
fcas/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
fcas/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
fcas/evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
fcas/evostra
A fast Evolution Strategy implementation in Python
fcas/FEDOT
Automated modeling and machine learning framework FEDOT
fcas/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
fcas/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
fcas/lightwood
Lightwood is Legos for Machine Learning.
fcas/miraiml
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
fcas/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
fcas/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environme
fcas/numpy-ml
Machine learning, in numpy
fcas/opfython
🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.
fcas/optuna
A hyperparameter optimization framework
fcas/opytimizer
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
fcas/PySyft
Perform data science on data that remains in someone else's server
fcas/recommenders
Best Practices on Recommendation Systems
fcas/river
🌊 Online machine learning in Python
fcas/scikit-multiflow
A machine learning package for streaming data in Python. The other ancestor of River.
fcas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
fcas/sktime
A unified framework for machine learning with time series
fcas/stellargraph
StellarGraph - Machine Learning on Graphs
fcas/streamlit
Streamlit — A faster way to build and share data apps.
fcas/synthia
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python