Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

A toolkit for making real world machine learning and data analysis applications in C++

Your new Mentor for Data Science E-Learning.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Alluxio, data orchestration for analytics and machine learning in the cloud

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

This repository is a compilation of free resources for learning Data Science.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An industrial deep learning framework for high-dimension sparse data

All course materials for the Zero to Mastery Machine Learning and Data Science course.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

An index of algorithms for learning causality with data

Free resources for learning data science

Open Content for self-directed learning in data science

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

A unified framework for privacy-preserving data analysis and machine learning

Python interactive dashboards for learning data science

An open-source framework for machine learning and other computations on decentralized data.

A comprehensive resource for learning and implementing algorithms and data structures. This repository includes detailed notes, complexity analysis, and code examples in C++, Java, Python, and more. Ideal for students, professionals, and those preparing for coding interviews.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

a curated list of R tutorials for Data Science, NLP and Machine Learning

Benchmark datasets, data loaders, and evaluators for graph machine learning

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Library for training machine learning models with privacy for training data

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values