Reverse Dependencies of skorch

The following projects have a declared dependency on skorch:

• aidapy — AI package for heliophysics
• aif360 — IBM AI Fairness 360
• autoemulate — An emulator platform for Digital Twins
• banditml — Lightweight library for training & serving contextual bandit models.
• bento-tools — A toolkit for subcellular analysis of RNA organization
• Braindecode — Deep learning software to decode EEG, ECG or MEG signals
• cdst — Calvin's Data Science Toolbox
• concrete-ml — Concrete ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.
• darwin-handlers — no summary
• deforce — deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks
• df-analyze — Add your description here
• diagnnose — A library that facilitates a broad set of tools for analysing hidden activations of neural models.
• geneeval — A Python library for evaluating gene embeddings
• gentab — A synthetic tabular data generation library.
• ibis-ml — IbisML is a library for building scalable ML pipelines using Ibis.
• ibm-watson-machine-learning — IBM Watson Machine Learning API Client
• ibm-watsonx-ai — IBM watsonx.ai API Client
• knodle — Knowledge infused deep learning framework
• kts — A framework for fast and interactive conducting machine learning experiments on tabular data
• LANDMarkClassifier — LANDMark: An ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data
• mattomer — A modular active learning framework for Python3
• metabci — A Library of Datasets, Algorithms, and Experiments workflow for Brain-Computer Interface
• mia — A library for running membership inference attacks against ML models
• ml-experiment-manager — Manage data during machine learning projects
• mltome — A collection of Mtools that builds on Python ML frameworks.
• modAL-python — A modular active learning framework for Python3
• modAL-python-mirror — A modular active learning framework for Python3 (mirror package)
• oban-classifier — OBAN Classifier: A Skorch-based flexible neural network for binary and multiclass classification
• optuna-integration — Integration libraries of Optuna.
• prototype-learning — A package for learning interpretable prototypes for prediction tasks.
• punppci — Neural network for insurance claims modelling
• pytabkit — ML models + benchmark for tabular data classification and regression
• pythoncharmers-meta — Meta package with dependencies for Python Charmers training courses
• ray-skorch — Skorch on Ray Train
• reflame — Revolutionizing Functional Link Neural Network by Metaheuristic Algorithms: reflame - A Python Library
• sail — Python package for streaming data and incremental learning
• salmon-triplets — Efficient crowdsourcing for ordinal embeddings
• scCAMEL — scCAMEL: single cell Cross- Annotation and Multimodal Estimation on Lineage trajectory;License: GPL version 3;Developed by: Yizhou Hu, Patrik Ernfors lab, MBB, Karolinska Institutet;Tutorials and other informations in :https://sccamel.readthedocs.io/
• skada — A Python package for domain adaptation compatible with scikit-learn and Pytorch.
• skorch-tabsra — TabSRA model
• spacecutter — Ordinal regression models in PyTorch
• summit — Tools for optimizing chemical processes
• time-series-predictor — Time Series Predictor
• timeskorch — Time Skorch (TS) is a powerful tool designed to make time series analysis and forecasting a breeze.
• tuhlbox — Personal toolbox of language processing models.
• XAISuite — XAISuite: Training and Explanation Generation Utilities for Machine Learning Models