Technical Excellence in AI/ML Publications: An Evaluation Rubric by Ready Tensor

• AI Documentation Standards
• AI Project Evaluation
• +14

The Open Source Repository Guide: Best Practices for Sharing Your AI/ML and Data Science Projects

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• 
• a
• 

• AIProjectStructure
• AIRepositories
• +12

Engage and Inspire: Best Practices for Publishing on Ready Tensor

• AI Portfolio
• AI Project Presentation
• +10

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification

• accuracy
• auc-score
• +12

Core concepts of Agentic AI and AI agents

• Agentic AI
• Agents
• +2

Distance Profile for Time-Step Classification in Time Series Analysis

• distance profile
• MASS
• +6

Markdown for Machine Learning Projects: A Comprehensive Guide

• Documentation
• LaTeX
• +4

Transformer Models for Automated PII Redaction: A Comprehensive Evaluation Across Diverse Datasets

• ALBERT
• BERT
• +12

One Model, Five Superpowers: The Versatility of Variational Auto-Encoders

• AI
• Anomaly Detection
• +13

n8n: Building No-Code Agentic Workflows

• a
• 
• 

• AgenticAI
• AgenticWorkflows
• +5

Building CLIP from Scratch: A Tutorial on Multi-Modal Learning

• CLIP
• Computer Vision
• +6

Ready Tensor Forecasting Benchmark

• benchmark
• comparative study
• +5

From Thousands to Millions: A Flexible Tool for Generating Scalable TSP Datasets

• Benchmarking
• Combinatorial Optimization
• +11

Accelerate Your AI/ML Career with Open-Source Contributions

• AI
• AI Agents
• +3

Hands on Computer Vision: Build Production-Grade Models in an Hour

Time Series Step Classification Benchmark

• Benchmarking
• Benchmarking Study
• +8

Beyond tracemalloc: A Comprehensive Resource Tracker for Python

• CPU utilization
• GPU memory
• +9

Licenses for ML Projects: A Primer

• Apache
• BSD
• +16

Publish Like a Pro: Essential Steps for a Perfect Ready Tensor Publication

• checklist
• community
• +2

A Comprehensive Comparison of AutoML Libraries for Binary Classification

• AutoML
• Benchmark
• +4

Foundational LLMs in Timeseries Forecasting: A Benchmarking Study

Exploring Parameter-Efficient Fine-Tuning (PEFT)

• AI
• DeepLearning
• +8

Decade of AI and ML Conferences: A Comprehensive Dataset for Advanced Research and Analysis

• AI
• DocumentRetrieval
• +5

CPUs, GPUs, and TPUs: The Hardware Engines Driving AI

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• 
• a
• 

UV: The Next Generation Python Package Manager Built for Speed

• a
• 
• 

Introduction to knowledge Graphs with Neo4j

• Knowledge Graphs
• Neo4j

Image compression with Auto-Encoders

• AI
• AutoEncoders
• +4

Python Docstrings for Machine Learning Models

• bestpractices
• codemaintenance
• +12

Repeatability Is Not Reproducibility: Why AI Research Needs a Higher Bar

• AI research
• open-science
• +5

PEP8 Style Guide for Data Scientists and AI/ML Engineers

• autopep8
• bestpractices
• +16

OpenAI Agents SDK Tutorial: Building Autonomous Multi-Agent AI Systems

• a
• 
• 

• AAIDC
• Agentic AI
• +11