ResponsibleML-UseR2021
ML training materials
Materials and resources for learning about responsible machine learning through tutorials, videos, and datasets.
Materials for ,,Introduction to Responsible ML at UseR!2021''
16 stars
6 watching
6 forks
Language: HTML
last commit: over 3 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 pbiecek/biocoll2021 | An open-source tutorial project providing materials and datasets for teaching machine learning with R | 8 |
 sjhwang82/advancedml | A comprehensive online course repository with lecture notes, schedules, and reading lists for advanced machine learning topics | 368 |
 h2oai/article-information-2019 | A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications. | 13 |
 ardanlabs/training-ai | Provides training materials and tools for building machine learning applications | 72 |
 opendatalab/mllm-dataengine | Automates data generation and model training for improving MLLM capabilities | 39 |
 bailool/doyouevenlearn | A comprehensive resource guide to stay updated on AI, ML, DL, and CV advancements | 1,039 |
 josephmisiti/machine-learning-module | A collection of machine learning tutorials and lectures from Professor M. A. Girolami's 2006 course. | 465 |
 uw-madison-lee-lab/cobsat | Provides a benchmarking framework and dataset for evaluating the performance of large language models in text-to-image tasks | 30 |
 ml-schema/core | Develops and maintains a standard ontology of machine learning concepts and their relationships with other vocabularies and ontologies | 27 |
 ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,446 |
 deepmimo/deepmimo-matlab | Provides MATLAB code and dataset for training machine learning models in millimeter wave and massive MIMO systems | 162 |
 huiwenzhang/ml-in-action | A collection of MATLAB code examples illustrating various machine learning and reinforcement learning concepts. | 89 |
 tailhq/dynaml | An interactive machine learning development environment with support for Scala, JVM, and popular ML libraries. | 201 |
 a-hanf/mlr3automl | Automates machine learning task selection and model training using R's mlr3 framework | 25 |
| h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 483 |