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Appears in 6 awesome lists
🆓 Python library for user-friendly forecasting and anomaly detection on time series, stewarded by Unit8 SA which only sells consulting around it (no paid library tier). Wraps a huge number of models, including Prophet. Great for experiments, but bear in mind that all the models in Darts expects…
Section: Cost Forecast · 🆓 Python library for user-friendly forecasting and anomaly detection on time series, stewarded by Unit8 SA which only sells consulting around it (no paid library tier). Wraps a huge number of models, including Prophet. Great for experiments, but bear in mind that all the models in Darts expects…
Section: 1. Core Frameworks & Libraries · User-friendly forecasting and anomaly detection for time series. Unifies classical statistical models (ARIMA, ETS) with modern neural networks (N-BEATS, TFT, DeepAR) in a single scikit-learn compatible API. Apache 2.0 licensed.
Section: Industry-strength Anomaly Detection · Darts is a library for user-friendly forecasting and anomaly detection on time series.
Section: Time Series · A python library for easy manipulation and forecasting of time series.
Section: Forecasting · Python
Section: Machine Learning Frameworks · A python library for user-friendly forecasting and anomaly detection on time series.
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]