sense
pytorch-forecasting
| sense | pytorch-forecasting | |
|---|---|---|
| 4 | 9 | |
| 726 | 3,611 | |
| 0.0% | - | |
| 0.0 | 8.6 | |
| over 2 years ago | 7 days ago | |
| Python | Python | |
| MIT License | MIT License |
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sense
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Can not Download 20BN Jester Dateset
Because of the fact that Qualcomm acquired 20 billion neurons (20bn), jester dataset can't be downloaded from their website. Does anyone know an alternative source to download?
- Sense: A New Open-Source Video Understanding Framework for Deep Learning
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[P] Sense: Open Source Framework for Video Understanding & Action Recognition with Deep Learning
For counting, the Sense project provides a tool for temporally annotating your videos. This way you can tag key positions in the movement (like up and down position for pushups), which the model will also learn to output and can then easily be counted. Here's an example script for counting jumping jacks and squats.
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?
transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.
SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
hagrid - HAnd Gesture Recognition Image Dataset
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]
tslearn - The machine learning toolkit for time series analysis in Python
snntorch - Deep and online learning with spiking neural networks in Python