Tim Beasley's repositories
awesome-deep-learning-papers
The most cited deep learning papers
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Fi_GNN
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
Financial-NLP
Constructing Financial Sentimental Factors in Chinese Market Using Techniques of Natural Language Processing
GML2023
Graph Machine Learning course, Xavier Bresson, 2023
GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks.
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
ImplicitSelfRegularization
Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Music-Generation-Using-Deep-Learning
A Deep Learning Case Study to Generate Music Sequences using Char RNN, where each RNN is an LSTM unit.
nucleus-sdk
Nucleus SDK with instructions and examples on how to use Nucleus APIs
population-gcn
Graph CNNs for population graphs
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Recommendation-Engine
Build a recommendation engine that seeks to filter user preferences according to the user's choices and browsing history.
sgd_tail_index
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
topics_over_time
Topics over Time implementation
udlbook
Understanding Deep Learning - Simon J.D. Prince