Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Quick read
Latest capture 2026-08-03 04:43
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
41 observed captures since 2026-06-02. Observed captures are shown by default.
Stars from first capture +16
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
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.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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).