Datasets
tensorflow
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
OPENAGENTSKILL / DIRECTORY
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1–16 / 87
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Results: 87
tensorflow
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
alexeygrigorev
Data science interview questions and answers
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
tensorflow
Probabilistic reasoning and statistical analysis in TensorFlow
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…
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
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…
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…
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.