Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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Faker is a Python package that generates fake data for you.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
An open source multi-tool for exploring and publishing data
Open source annotation tool for machine learning practitioners.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
N-D labeled arrays and datasets in Python
Visualize and compare datasets, target values and associations, with one line of code.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Colour Science for Python
Rasterio reads and writes geospatial raster datasets
Python CLI utility and library for manipulating SQLite databases
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
What's in your data? Extract schema, statistics and entities from datasets
NFStream: a Flexible Network Data Analysis Framework.
Keep code, data, containers under control with git and git-annex
Python library for working with Music Information Retrieval datasets
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Python parser and tools for MUSDB18 Music Separation Dataset
Tools for working with GTFS public transit data in ArcGIS