Tony Gracious's Projects
DS 222: ML with Large Datasets (2017)
DS 222: ML with Large Datasets (2017)
Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
A curated list of papers, code and resources pertaining to zero shot learning
CSQA Pytorch Implementation
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A list of recent works in Fairness in Network Representation Learning
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Python class for generation and parameter estimation of multivariate Hawkes processes
Hawkes Process MLE Inference Using JAX
Pytorch Implementation of Hawkes Process
Python implementation of Kernelized Locality Sensitive Hashing
CCE Day 1
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
This repository contains recent background materials, current works, and codes for researching in TPP.
Config files for my GitHub profile.