microsoft / rl-offline-simulation
Data-driven offline simulation for online reinforcement learning: benchmark and baselines
☆27Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for rl-offline-simulation
- Gallery for Industry AI demos☆17Updated last year
- A collection of libraries for interfacing simulators with the Bonsai platform.☆37Updated last year
- CyBERTron-LM is a project which collects some pre-trained Transformer-based models.☆12Updated last year
- Samples for use with MLOps☆13Updated last year
- A repository for managing workshop contents for learning Microsoft Azure's data analytics platform with a focus on Databricks SQL and Syn…☆20Updated last year
- ☆6Updated last year
- Renee: End-to-end training of extreme classification models☆21Updated last year
- ☆14Updated 6 months ago
- ☆14Updated last year
- Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice☆32Updated 2 weeks ago
- GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.☆41Updated 3 years ago
- Documentation related to Microsoft Cognitive Research Technologies☆19Updated 2 years ago
- Project Moab software stack☆23Updated last year
- A template repo used by Autonomous Systems and Robotics Group for ML projects☆15Updated last year
- Build sim from data for use in reinforcement learning and bonsai platform for machine teaching.☆20Updated last year
- Azure Object Detection Accelerator. A repo for quickly and easily setting up a sample object detection project with training, labelling, …☆19Updated last year
- ☆14Updated last year
- Lightweight Deep Learning Model Training library based on PyTorch☆32Updated 2 years ago
- ☆26Updated last year
- Python library for implementing Responsible AI mitigations.☆59Updated 10 months ago
- A collection of Python Packages for AI usecases☆43Updated last year
- A JupyterLab extension for tracking, managing, and comparing Responsible AI mitigations and experiments.☆42Updated last year
- Fault-aware neural code rankers☆25Updated last year
- Scalable solution for ML Observability☆34Updated 5 months ago
- ☆14Updated 4 months ago
- We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…☆92Updated 3 months ago
- Modular, scalable codebase to train ML models☆42Updated this week
- Azure AI Visual Search toolkit☆15Updated 2 years ago
- Edutainment game teaching players concepts around machine learning☆13Updated 4 years ago
- MSR Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models☆12Updated 2 months ago
- ☆14Updated last year