Saei:D's repositories
NMTFcoclust
Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.
nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
awesome-persian-nlp-ir
Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources
code-gif-generator
NPM package to generate scrolling GIFs from code snippets
MultiCoclustering
Scala implementation of the Multiple Coclustering model, a Bayesian Non-Parametric method for block clustering of multivariate continuous observations
100Data
100Data is an in-depth project aimed at addressing biostatistics datasets through a structured workflow of data cleaning, exploratory analysis, and the implementation of interpretable machine learning models.
ELBMcoclust
We unified some latent block models by proposing a flexible ELBM that is extended to SELBM to address the sparse problem by revealing a diagonal structure from sparse datasets. This leads to obtain more homogeneous co-clusters and therefore produce useful, ready-to-use and easy-to-interpret results.
gnark
gnark is a fast zk-SNARK library that offers a high-level API to design circuits. The library is open source and developed under the Apache 2.0 license
Introduction-to-Text-Mining
This repository would introduce text mining and its applications. It could also provide an overview of the different techniques used in text mining.
gonit
Drop-in replacement for monit written in Go, with Apache 2.0 license
Intrococlust
Co-clustering, also known as biclustering or block clustering, is a powerful data analysis technique that uncovers hidden structures in complex datasets.
Job_Inja
Using a Python class called JobScraper, it receives job information from various APIs. The goal is to receive job information from various APIs and avoid network problems such as connection failure, timeout, or blocking
LLMnewTopics
Dive into the forefront of Large Language Models (LLMs) with our concise guide on the top 10 hot topics. Explore bias mitigation, efficient training, multimodal models, and more. Stay abreast of the latest advancements shaping the landscape of LLMs.
MySQLtextAPI
A step-by-step roadmap to create a real database for text data extracted from an API using Python and MySQL
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
word_cloud
A little word cloud generator in Python