Popular GitHub Repositories for Zobrist Hashing

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

An Open-Source Package for Deep Learning to Hash (DeepHash)

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Deep learning cross modal hashing in PyTorch

Scalable and Sustainable Deep Learning via Randomized Hashing

Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/

This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, ?ukasz Kaiser, Eddy Shyu

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)

this.env defines, locks, and hashes the environment to establish a reliable and secure operational context. By detecting and responding to changes, it ensures consistency and integrity, especially for intelligent systems and machine learning applications.

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

The code for the paper "Contrastive Quantization with Code Memory for Unsupervised Image Retrieval" (AAAI'22, Oral).

A superhuman chess engine written in Java.

semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch