MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Mallows Kendall. A python package to for Mallows Model with top-k and complete rankings using Kendall's-tau distance. By Ahmed Boujaada, Fabien Collas and Ekhine Irurozki. We present methods for inference in the Mallows Model (MM), the best-known distribution for permutations. This is short tutorial for top-k rankings and complete rankings under…
A fast and highly accurate differentiable Top-k operator from the "Successive Halving Top-k Operator" AAAI'21 paper.
The repository contains code to reproduce the experiments from our paper Error Feedback Can Accurately Compress Preconditioners available below:
Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020
Instagram Bot with multiple features for educational purposes on Selenium.
A method to enumerate top-k cliques.
SemanticSearch is a PyTorch-based code for searches in text
Heavykeeper algorithm for Top-K elephant flows - python
The project aims to find the trend by extracting and analyzing top k words in real-time posts of Twitter.
Calibration and uncertainty quantification for ranking systems.
spatial data selection queries and nearest neighbor search for Beijing restaurants
In this project, developed for the course "Principles of Programming Languages and Compilers", cosine similarity between sets of documents was calculated.
This tool visualizes how thresholds, top-K limits, and review budgets remove candidates before human review. It informs threshold selection, review budget sizing, and top-K choice in constrained human review workflows.
Implementation demonstrating how temperature, top-p (nucleus sampling), and top-k sampling parameters transform raw logits into probability distributions for text generation. Includes mathematical explanations and visual examples of each sampling strategy.
My implementations of various data structures and algorithms.
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