Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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Create HTML profiling reports from pandas DataFrame objects.
An intuitive GUI for Pandas DataFrames.
NumPy and Pandas interface to Big Data.
A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
Dataframes for machine-learning and statistics (similar to pandas).
Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
Speed up your Pandas workflows by changing a single line of code.
A library providing high-performance, easy-to-use data structures and data analysis tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Clojure API wrapping Python's Pandas library.
Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.
Set of seminal AI/ML papers curated by Aman Chadha.
Curated list of automated machine learning papers, articles, tutorials, slides and projects.
Easy to read summaries of popular AI papers.
Data-to-paper: AI-driven research from data to human-verifiable research papers.
LLM Papers provides machine-learning models, research, training resources, or evaluation tools.
Summarizer for paper parts. The user needs to copy and paste into their interface.
Paper Digest - ChatGPT supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Paper2Audio uses AI for speech, voice, transcription, music, or other audio workflows.
Paper2Gal uses AI to draft, edit, summarize, or adapt written content.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
Helps find, analyze or synthesize information for research and knowledge discovery.
Supports software work with AI-assisted coding, testing or application development.