Shubham Gupta's repositories
abojchevski.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
ANCE
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
colab-continualAI
Continual Learning tutorials and demo running on Google Colaboratory.
DICE
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
fairgen
Fair Generative Modeling via Weak Supervision
GFCIL
Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning
GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
machine-learning-systems-design
A booklet on machine learning systems design with exercises: https://huyenchip.com/machine-learning-systems-design/toc.html
MACR_Model_AGNOSTIC_CR_PopularityBias_REC
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System, KDD 2021
NeuroMLR
Robust & Reliable Route Recommendation on Road Networks
RecDebiasing
This repository collects debiasing methods for recommendation
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
tpp-anomaly-detection
Implementation of "Detecting Anomalous Event Sequences with Temporal Point Processes" (NeurIPS 2021)
WSDM2022TGP-AntGraph
the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)