Machine-Learning-Guide
pytorch-forecasting
| Machine-Learning-Guide | pytorch-forecasting | |
|---|---|---|
| 6 | 9 | |
| 437 | 3,625 | |
| - | - | |
| 6.2 | 8.6 | |
| 4 months ago | about 11 hours ago | |
| Python | Python | |
| - | MIT License |
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Machine-Learning-Guide
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I just learned the basics of python. Where can I get started with machine learning?
This Machine learning Guide has a list of courses and tools for machine learning.
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Useful Tools and Resources for Reinforcement Learning
Found a useful list of Tools, Frameworks, and Resources for RL/ML. It covers Reinforcement learning, Machine Learning (TensorFlow & PyTorch), Core ML, Deep Learning, Computer Vision (CV). I thought I'd share it for anyone that's interested
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How to learn Machine Learning? My Roadmap
I would also recommend this Machine Learning Guide. I found it a weeks ago and it has some useful info.
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Useful Tools, Programs, and Resources for AI/ML
Found a useful list of Tools and Programs for Machine Learning/Deep Learning. Looks like it covers Machine Learning, Deep Learning, Computer Vision(CV), and Natural Language Processing (NLP). I thought I'd share it for anyone that's interested.
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Useful Tools and Programs list for AI/ML
Found a useful list of Tools and Programs for AI/ML. Looks like it covers Machine Learning, Deep Learning, Computer Vision(CV), and Natural Language Processing (NLP). I thought I'd share it for anyone that's interested. https://github.com/mikeroyal/Machine-Learning-Guide
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Cool Machine Learning Guide/ Wiki
Machine Learning Guide/Wiki: https://github.com/mikeroyal/Machine-Learning-Guide
pytorch-forecasting
- FLaNK Stack Weekly for 14 Aug 2023
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Pytorch Lstm
Source: Conversation with Bing, 4/5/2023 (1) jdb78/pytorch-forecasting: Time series forecasting with PyTorch - GitHub. https://github.com/jdb78/pytorch-forecasting. (2) Time Series Prediction with LSTM Using PyTorch - Colaboratory. https://colab.research.google.com/github/dlmacedo/starter-academic/blob/master/content/courses/deeplearning/notebooks/pytorch/Time_Series_Prediction_with_LSTM_Using_PyTorch.ipynb. (3) time-series-classification · GitHub Topics · GitHub. https://github.com/topics/time-series-classification. (4) PyTorch: Dataloader for time series task - Stack Overflow. https://stackoverflow.com/questions/57893415/pytorch-dataloader-for-time-series-task.
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[D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?
Temporal fusion transformer https://github.com/jdb78/pytorch-forecasting
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LSTM/CNN architectures for time series forecasting[Discussion]
Pytorch-forecasting
- Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR
- Can someone help me with this? it's been days that i struggle with this problem
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[P] Beware of false (FB-)Prophets: Introducing the fastest implementation of auto ARIMA [ever].
To name a few: https://github.com/jdb78/pytorch-forecasting, https://github.com/unit8co/darts, https://github.com/Nixtla/neuralforecast
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When to go for an 'easy' time-series model vs. using a complex deep learning model (when having experience with the latter)
I'm a data trainee at this organisation. I wrote my master thesis about using an event clustering mechanism to enrich an existing dataset to improve short-term demand predictions, using Pytorch Forecasting using the temporal fusion transformer component, and LightGBM (and compare the models with and w/o the event feature, so 4 runs in total).
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A python library for easy manipulation and forecasting of time series.
Darts is a pretty nice one. I've recently been using pytorch-forecasting for larger models like the Temporal Fusion Transformer. https://github.com/jdb78/pytorch-forecasting
What are some alternatives?
Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
darts - A python library for user-friendly forecasting and anomaly detection on time series.
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
prtm - Deep learning for protein science
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
pytorch-who-is-that-pokemon - All 151 classes pokemon Gen1 classification with torchvision model.
tslearn - The machine learning toolkit for time series analysis in Python