Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Autograd and XLA for high-performance machine learning research.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Collection of infrastructure and tools for research in neural network interpretability.
Helps find, analyze or synthesize information for research and knowledge discovery.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Helps find, analyze or synthesize information for research and knowledge discovery.
The lightweight PyTorch wrapper for high-performance AI research.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Helps find, analyze or synthesize information for research and knowledge discovery.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
A repository of useful data science prompts for ChatGPT.
Template repository for data science lifecycle project.
Data Version Control - Git for Data & Models - ML Experiments Management.
A lightweight set of tools for loading and sharing data in data science projects.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
Fast and easy data exploration by automating the visualization and data analysis process.
MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.