catalyst
Accelerated deep learning R&D
AI summary
DL framework
A PyTorch framework for accelerating deep learning research and development by focusing on reproducibility, rapid experimentation, and codebase reuse.
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- watching
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- awesome lists
- 7
- #computer-vision
- #deep-learning
- #distributed-computing
- #image-classification
- #image-processing
- #image-segmentation
- #information-retrieval
- #infrastructure
- #machine-learning
- #metric-learning
- #natural-language-processing
- #object-detection
- #python
- #pytorch
- #recommender-system
- #reinforcement-learning
- #reproducibility
- #research
- #text-classification
- #text-segmentation
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DeepLab Plus Model
A PyTorch implementation of the DeepLab-V3-Plus model with support for multiple backbones and datasets
Brain Segmentation Pipeline
A 3D brain segmentation pipeline using Python and the Catalyst framework.
RL Framework
A framework for distributed reinforcement learning research with Python and PyTorch support
RL frameworks
PyTorch implementations of popular deep reinforcement learning algorithms and environments.
CTR models
A PyTorch-based package for building and training click-through rate models using various deep learning architectures.
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An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch
Neural network trainer
A high-level library to help with training and evaluating neural networks in PyTorch
Featured in 7 awesome lists
Each link jumps to the spot where the list mentions catalyst.
