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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
1 month ago
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Backpropagation in Neural Networks
:red_circle: **Aim** : Backpropagation is a fundamental algorithm u…
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Hi guys!
First of all, thank you for your fantastic work on unifying time series forecasting!
I got stuck - after browsing examples and documentation, I wonder whether there exists an explicit (or…
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# UQ4ML – Uncertainty Quantification Techniques in Machine Learning Models
This session focuses on uncertainty quantification (UQ) techniques in machine learning models and their applications acros…
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**Paper**
Character-level Convolutional Networks for Text Classification
**Introduction**
In the realm of text classification, most models have considered the words as the building blocks. This r…
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Are there ways of making tutorials for the following topics (in order of complexity):
- Classification tasks (rather than just regression) https://github.com/team-daniel/KAN
- Recommendation Algorit…
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Hi @Lillliant,
This issue page is for your second task on SEERa. As you know, SEERa has a layered structure and its second layer is tml (topic modeling layer). For now, we have 3 methods in SEERa t…
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### A thorough review of the PyTorch interfacing class
- [ ] NeuralForecast
NeuralForecast interfaces the PyTorch indirectly through its neural network dependency.
* [**Adapter**](https…
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PGN with Jax implementation and NeurIPS 2020 paper____
├─Message-Passing Neural Network (MPNN) for Graph Convolutional Networks (GCNs)____
│ ├─■──"Applying Triplet Message Pas…
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**Lead:** Wei Ji Leong
**Date:** 21/08/2024
**Start Time:** 0900
**Duration:** 60
**Description:**
Details
### Learning Outcomes
* understanding how to convert ICESat-2 point cloud data into an an…