Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
🌊 Online machine learning in Python
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable and user friendly neural :brain: forecasting algorithms.
The machine learning toolkit for time series analysis in Python
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Python Streaming DataFrames for Kafka
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable machine 🤖 learning for time series forecasting.
Portfolio optimization with deep learning.
Module for statistical learning, with a particular emphasis on time-dependent modelling
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Detect the sentiment captured in short pieces of text