SparseML is an optimization toolkit for training and deploying deep learning models using sparsification techniques like pruning and quantization to improve efficiency.
Features
- Supports pruning, quantization, and distillation for model compression
- Works with PyTorch and TensorFlow models
- Enables efficient inference on CPUs without GPUs
- Provides pre-optimized recipes for popular deep learning architectures
- Reduces model size while maintaining accuracy
- Compatible with DeepSparse for optimized execution
License
Apache License V2.0Follow SparseML
Other Useful Business Software
Ship Agents Faster
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of SparseML!