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Aim : To develop a deep learning model to detect drowsiness from EEG signals using various algorithms and compare their performance to identify the best-fitted algorithm based on accuracy scores.
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Hi Robin @Robinlovelace ,
I hope this message finds you well.
We’ve likely met at GISRUK, GIScience, and other data science conferences. I am Xiaowei, a final-year PhD student at UCL, supervised…
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**Is your feature request related to a problem? Please describe.**
Deep Learning models usually are stacked layers, from shallow layers to deep layers. With Transform models being prevalent, it is wo…
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We need to develop (and maintain) a good base image for SDS 2.0 guest VMs, which will be used for GPU enabled VMs which AI research experts will be able access in private and be root on.
This card is…
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# Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data - Python Tutorials for Machine Learning, Deep Learning and Data Visualization
A small tutorial on how to com…
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I saw some models available on [tensorflow models](https://tfhub.dev/tensorflow) but as a beginner, I am not very good at using rust to load these models for image recognition
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## Location
* Remote
## Salary Expectation
* upto $15.000
## Requirements
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. degree …
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** :Stock analysis
:red_circle: **Aim** : this project provide the analysis of the provided stock like uns…
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### Deep Learning Simplified Repository (Prop.osing new issue)
:red_circle: **Project Title** : Heatmap Visualization of a Image Classification Model like Xception using GRAD-CAM
:red_circle: …
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The goal is to study DL method for BCI classification:
- [Deep learning with convolutional neural networks for EEG decoding and visualization](https://pubmed.ncbi.nlm.nih.gov/28782865/), 1744 citati…