Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
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Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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Latest capture 2026-07-19 04:44
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pyproject.toml
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requirements.txt
python ecosystem,
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setup.cfg
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setup.py
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docs/requirements.txt
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Scalable machine 🤖 learning for time series forecasting.
A python library for user-friendly forecasting and anomaly detection on time series.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Time series forecasting with PyTorch
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