Janus-Series: Unified Multimodal Understanding and Generation Models
- any-to-any
- foundation-models
- llm
- multimodal
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Janus-Series: Unified Multimodal Understanding and Generation Models
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
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.
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
Python Streaming DataFrames for Kafka
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Scalable machine 🤖 learning for time series forecasting.
Portfolio optimization with deep learning.
Official Repository for the Uni-Mol Series Methods
Scalable, event-driven, deep-learning-friendly backtesting library
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.