flambe
An ML framework to accelerate research and its path to production.
AI summary
Research framework
An ML framework for accelerating research and its integration into production workflows
- stars
- 264
- forks
- 29
- watching
- 9
Similar projects
Found by comparing what the projects do, not just their names.
FL framework
A PyTorch-based framework for Federated Learning experiments
ML framework
A framework for simplifying machine learning development and deployment
Machine Learning Engine
Research on integrating machine learning with emergent runtimes to improve performance and security.
Machine Learning Framework
An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms.
mlr-org/mlr1.6K
ML framework
Provides an infrastructure for machine learning in R, enabling users to focus on experiments without writing lengthy wrappers and boilerplate code.
google/objax772
Research accelerator
An open-source machine learning framework designed to simplify and accelerate research
mlreef/mlreef1.4K
ML platform
A platform for collaboration, data management, and reproducibility in machine learning development
Deep learning framework bridge
An abstraction layer between various deep learning frameworks and your program.
fff-rs/juice1.1K
Machine Learning Framework
A machine learning framework designed to be extensible and agnostic, with support for multiple backends and linear algebra libraries.
Reinforcement Learning framework
Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks
kengz/slm-lab1.3K
Reinforcement Learning Framework
A comprehensive framework for deep reinforcement learning using PyTorch.
Deep learning framework
A PyTorch implementation on Apache Spark for distributed deep learning model training and inference.
ML framework wrapper
High-level library to simplify machine learning tasks by abstracting repetitive code
FL framework
Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner.
FL framework
A unified framework for improving privacy and reducing communication overhead in distributed machine learning models.