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deepseek-ai/Engram

Novel sparsity technique for LLMs using conditional memory and scalable lookup to reduce model size and improve efficiency.

3.8K
Stable
Python
LLM Frameworks
Inference
PyTorch
#conditional-memory#sparsity#llm-optimization

neuralmagic/deepsparse

A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.

3.2K
Experimental
Python
Inference
API Frameworks
PyTorch
#computer-vision#nlp#object-detection

intel/neural-compressor

Optimizes large language models for low-bit precision and sparsity, improving model compression techniques.

2.6K
Active
Python
LLM Frameworks
PyTorch
#quantization#post-training-quantization#sparsity

neuralmagic/sparseml

SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.

2.1K
Experimental
Python
Automated Machine Learning
TensorFlow
#sparsification#sparseml#neural networks

PaddlePaddle/PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

1.6K
Active
Python
Inference
ML Ops
PyTorch
#compression#architecture-search#model-optimization

tensorflow/model-optimization

A toolkit to optimize machine learning models for deployment, including quantization and pruning.

1.6K
Active
Python
ML Ops
API Frameworks
TensorFlow
#machine-learning#model-optimization#quantization

openvinotoolkit/nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

1.1K
Active
Python
Inference
Computer Vision
PyTorch
#openvino#quantization#pruning

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