Reverse Dependencies of jupyter-events

The following projects have a declared dependency on jupyter-events:

• autopilotml — A package for automating machine learning tasks
• bitfount — Machine Learning and Federated Learning Library.
• CADPR — Standardize and Automate processes utilized by the DAMs at Nike in CA
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• edubotics-core — Core modules for edubotics-based LLM AI chatbots
• elixir-server — The backend—i.e. core services, APIs, and REST endpoints—to Elixir web applications.
• elyra-server — The elyra-server package provides common core libraries and functions that are required by Elyra's individual extensions. Note: Installing this package alone will not enable the use of Elyra. Please install the 'elyra' package instead. e.g. pip install elyra[all]
• ENGR131-2024 — ENGR131_2024 package
• FashionTrendForecasting — A package for predicting fashion trends
• Gao-Anime — AI Head
• garmindb — Download data from Garmin Connect and store it in a SQLite db for analysis.
• gordo — Train and build models for Argo / Kubernetes
• impresso-commons — Python module highly reusable within impresso.
• ImputeHiFI — no summary
• input4mips-validation — Validation of input4MIPs data (checking file formats, metadata etc.).
• jupyter_server — The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
• jupyter-server-fileid — Jupyter Server extension providing an implementation of the File ID service.
• jupyter-server-ydoc — jupyter-server extension integrating collaborative shared models.
• jupyterlab-sql-editor — SQL editor support for formatting, syntax highlighting and code completion of SQL in cell magic, line magic, python string and file editor.
• knic-jupyter — A JupyterLab extension.
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• latentscope — Quickly embed, project, cluster and explore a dataset.
• lp-Aicloud — this a aicloud
• mpnp — Mário Popolin Neto Package.
• neno — NeNo (Network Notebooks) is a tool that allows you manage and trigger your Jupyter notebooks remotely over the network using HTTP.
• NikeCA — Standardize and Automate processes
• nwb4fp — Description of my package
• nwb4fprobe — Description of my package
• ocean-jupyter-server — The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
• odh-elyra — Elyra provides AI Centric extensions to JupyterLab
• parcel-data-collector — no summary
• parcel-data-collector2 — no summary
• pinkfish — A backtester and spreadsheet library for security analysis.
• proofs — Mathematical proof assistant for students and amateurs.
• pydisconet — analyzing the co-authorship network of researchers in the field of biology
• pyplatex — A scalable and versatile ANPR package leveraging YOLO for detection and multiple OCR options to accurately recognize license plates.
• qsmap — Package provides functionality for working with geographical data, routing, and mapping
• quant1x — Quant1X量化交易框架
• sagemaker-jupyterlab-extension — SageMaker JupyterLab workspace primary extension module
• sagemaker-jupyterlab-extension-common — SageMaker JupyterLab workspace common module
• scenestats — A PyTorch port of the Freeman-Simoncelli model introduced in J. Freeman and E. P. Simoncelli, “Metamers of the ventral stream,” Nat Neurosci, vol. 14, no. 9, pp. 1195–1201, Sep. 2011, doi: 10.1038/nn.2889.
• sconce — Model Compresion Made Easy
• scraper-project-rami — no summary
• spectrochempy — Processing, analysis and modelling Spectroscopic data for Chemistry with Python
• tomoco — A CNN Channel Pruning System
• tspq0 — Travelling salesman problem by qiskit
• velocycle — Bayesian model for RNA velocity estimation of periodic manifolds
• WPSProtocol — A package for Implementing Walsh Pulse Sequenece constructed out of XY Hamiltonian based on Votto, M., Zeiher, J., & Vermersch, B. (2023). Robust universal quantum processors in spin systems via Walsh pulse sequences. arXiv preprint arXiv:2311.10600.