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koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

kuma_utils

My toolbox for data analysis. :)

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

large-language-model-notebooks-course

Practical course about Large Language Models.

large-language-models

lassonet

Feature selection in neural networks

learnopencv

Learn OpenCV : C++ and Python Examples

lightautoml

LAMA - automatic model creation framework

lightning

Large-scale linear classification, regression and ranking in Python

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

linear-tree

A python library to build Model Trees with Linear Models at the leaves.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm_practical_course

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

localgpt

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

lofo-importance

Leave One Feature Out Importance

loss_toolbox-pytorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

lovelyplots

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

lrschedules

An implementation of many different types of schedules for the learning rate.

lrurec

PyTorch Impelementation of Linear Recurrent Units for Sequential Recommendation

lstm-autoencoders

Anomaly detection for streaming data using autoencoders

lstm-gru-bilstm-in-tensorflow-for-predictive-analytics

lstm-load-forecasting

Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm-vae-torch-2

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

ltsf-linear-api

API for LSTF-Linear, SOTA for time-series-forecasting.

m5-forecasting-tutorial

An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

m5_compete

Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition / Kaggle M5沃尔玛销量时间序列预测竞赛 银牌方案(Top 2%)