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 2026-09-11 03:08
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
42 observed captures since 2026-06-02. Observed captures are shown by default.
Stars from first capture +24
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.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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.
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
