Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
- generative-ai
- gpt
- deep-learning
- langauge-model
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BertViz: Visualize Attention in Transformer Models
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
- deep-learning
- self-attention
- time-series
- pytorch
Chronos: Pretrained Models for Time Series Forecasting
- forecasting
- large-language-models
- llm
- machine-learning
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
- time-series-classification
- deep-learning
- fastai
- pytorch
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
TimeGPT-2.1: 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 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
- feature-engineering
- transformers
- pre-processing
- data-science
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
Universal 1d/2d data containers with Transformers functionality for data analysis.