Datasets
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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Results: 87
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
alexeygrigorev
Data science interview questions and answers
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
amark
An open source cybersecurity protocol for syncing decentralized graph data.
yzhao062
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
kedro-org
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are…
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Lightning-AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.