Pinned Repositories
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
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/ColossalAI
Making large AI models cheaper, faster and more accessible
fcas/cltk
The Classical Language Toolkit
fcas/lightwood
Lightwood is Legos for Machine Learning.
fcas/election-analysis
fcas/evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
fcas/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
fcas/open-solution-toxic-comments
Open solution to the Toxic Comment Classification Challenge
fcas/gensim
Topic Modelling for Humans
fcas/spammy
Spam filtering made easy for you
fcas/river
🌊 Online machine learning in Python
fcas/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
fcas/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
fcas/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
fcas/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
fcas/numpy
The fundamental package for scientific computing with Python.
fcas/backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
fcas/alibi-detect
Algorithms for outlier, adversarial and drift detection
fcas/catalyst
Accelerated deep learning R&D
fcas/pix2pix-keras
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras
fcas/bigartm
Fast topic modeling platform
fcas/alibi
Algorithms for explaining machine learning models
fcas/keras
Deep Learning for humans
fcas/cornac
A Comparative Framework for Multimodal Recommender Systems
fcas/Flight_Fare_Prediction
Flight_Fare_Prediction
fcas/turicreate
Turi Create simplifies the development of custom machine learning models.
fcas/nn_builder
Build neural networks with less boilerplate code
fcas/comet-examples
Examples of Machine Learning code using Comet.ml
fcas/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
fcas/igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
fcas/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production