Rupan

Deep Learning

Jan 29, 20261 min read

A subset of Machine Learning using Neural Networks. Can be both Unsupervised ML or Supervised ML, though more common in Supervised ML.

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E(n) Equivariant Graph Neural Networks (EGNN)
Graph Neural Network (GNN)
Machine Learning
Machine Learning
Neural Network
PyTorch
TS-DAR
Tensor
Training Loop
VAMPnets
Neural Net in C
The Annotated Transformer
The Unreasonable Effectiveness of Recurrent Neural Networks
Understanding LSTM Networks
A simple neural network module for relational reasoning
Attention Is All You Need
Deep Residual Learning for Image Recognition
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism
Identity Mappings in Deep Residual Networks
ImageNet Classification with Deep Convolutional Neural Networks
Multi-Scale Context Aggregation by Dilated Convolutions
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Message Passing for Quantum Chemistry
Neural Turing Machines
Order Matters: Sequence to sequence for sets
Pointer Networks
Recurrent Neural Network Regularization
Relational recurrent neural networks
Scaling Laws for Neural Language Models
Variational Lossy Autoencoder
Notes

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