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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Updated Jun 30, 2024
Jupyter Notebook

Nixtla / nixtla

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TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

machine-learning deep-learning time-series artificial-intelligence forecasting gpt anomaly-detection time-series-forecasting gpts llm timegpt generative-ai-time-series

Updated Nov 26, 2024
Jupyter Notebook

ddz16 / TSFpaper

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This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

deep-neural-networks deep-learning time-series transformer rnn spatio-temporal time-series-analysis spatio-temporal-data tcn time-series-prediction spatio-temporal-prediction time-series-forecasting time-series-models spatial-temporal-forecasting paper-lists

Updated Nov 12, 2024

AIStream-Peelout / flow-forecast

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Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

deep-neural-networks deep-learning time-series pytorch transformer lstm forecasting transfer-learning hacktoberfest time-series-analysis anomaly-detection time-series-forecasting time-series-regression state-of-the-art-models

Updated Nov 21, 2024
Python

cure-lab / LTSF-Linear

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[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

deep-learning time-series pytorch forecasting linear-models aaai time-series-prediction time-series-forecasting forecasting-model aaai2023

Updated Jan 27, 2024
Python

KimMeen / Time-LLM

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[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

machine-learning deep-learning time-series language-model time-series-analysis time-series-forecast time-series-forecasting multimodal-deep-learning cross-modality multimodal-time-series cross-modal-learning prompt-tuning large-language-models

Updated Nov 3, 2024
Python

kwuking / TimeMixer

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[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

machine-learning deep-learning time-series time-series-analysis time-series-forecasting

Updated Nov 3, 2024
Python

thuml / iTransformer

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Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

transformer time-series-forecasting

Updated Nov 8, 2024
Python

time-series-foundation-models / lag-llama

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

timeseries time-series transformers forecasting llama time-series-prediction time-series-forecasting timeseries-forecasting foundation-models time-series-transformer lag-llama

Updated Nov 21, 2024
Python

curiousily / Deep-Learning-For-Hackers

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Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)