awesome-project-ideas
time-series-transformers-review
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| awesome-project-ideas | time-series-transformers-review | |
|---|---|---|
| 3 | 85 | |
| 7,404 | 2,087 | |
| - | - | |
| 4.2 | 4.8 | |
| about 1 year ago | 23 days ago | |
| MIT License | MIT License |
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awesome-project-ideas
- Project Ideas
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Procedurally generated rocks in my software "Proc-rock"
My best recommendation I could give you is to simply create things. Start small, for example create a small program in the field you're interested in and then go from there. You can check this for ideas on what to create. There's a lot of resources in there.
- Do you guys have any ideas for website ideas?
time-series-transformers-review
- time-series-transformers-review: NEW Data - star count:1424.0
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Covering the main Time Series Forecasting models
More papers on similar approaches listed here and here: "Application Domains of Time Series Transformers"
- time-series-transformers-review: NEW Data - star count:1114.0
What are some alternatives?
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
gluonts - Probabilistic time series modeling in Python
awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
neural_prophet - NeuralProphet: A simple forecasting package
awesome-ocr
F1FantasyData - Price and sentiment data from the f1 fantasy game.
awesome-explainable-graph-reasoning - A collection of research papers and software related to explainability in graph machine learning.
Awesome-ComputerVision - Awesome-ComputerVision
datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
proc-rock - Procedural Generation of Realistic-looking Rocks using Geological and Visual Clues
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai