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microsoft/nni

An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.

14.3K
Archived
Python
ML Ops
PyTorch
#automated-machine-learning#automl#hyperparameter-tuning

huawei-noah/Efficient-AI-Backbones

Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.

4.4K
Experimental
Python
Computer Vision
Model Compression
PyTorch
#convolutional-neural-networks#efficient-inference#ghostnet

dkozlov/awesome-knowledge-distillation

A collection of resources and tools related to knowledge distillation, a technique for compressing and transferring knowledge from a larger model to a smaller one.

3.8K
Stable
Knowledge Distillation
#knowledge-distillation#model-compression#deep-learning

VainF/Torch-Pruning

A high-performance library for efficient neural network pruning and compression across LLMs, vision models, and more.

3.3K
Stable
Python
LLM Frameworks
Efficient Deep Learning
PyTorch
#model-compression#neural-network-pruning#llms

huawei-noah/Pretrained-Language-Model

Pretrained language model and optimization techniques for large-scale distributed AI/ML development.

3.2K
Archived
Python
LLM Frameworks
Model Compression
Python
#pretrained-models#knowledge-distillation#large-scale-distributed

Tencent/PocketFlow

An automatic model compression framework for developing smaller and faster AI applications.

2.9K
Archived
Python
Model Compression
Computer Vision
Python
#automl#model-compression#deep-learning

he-y/Awesome-Pruning

A curated list of neural network pruning resources for developers interested in model acceleration and compression.

2.5K
Archived
Model Compression
Awesome Lists
#model-acceleration#model-compression#neural-network-pruning

Efficient-ML/Awesome-Model-Quantization

A comprehensive collection of resources for model quantization research and optimization.

2.3K
Active
Model Optimization
Documentation
#model-quantization#deep-learning#efficient-deep-learning

haitongli/knowledge-distillation-pytorch

A PyTorch library for exploring deep and shallow knowledge distillation experiments with flexibility.

2.0K
Archived
Python
Computer Vision
Model Compression
PyTorch
#computer-vision#model-compression#knowledge-distillation

AberHu/Knowledge-Distillation-Zoo

A PyTorch implementation of various Knowledge Distillation (KD) methods for model compression and transfer learning.

1.7K
Archived
Python
Model Compression
Knowledge Distillation
PyTorch
#distillation#knowledge-transfer#model-compression

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

microsoft/NeuronBlocks

A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.

1.5K
Archived
Python
Prompt Engineering
PyTorch
#natural-language-processing#question-answering#deep-learning

huawei-noah/Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.

1.3K
Archived
Jupyter Notebook
Model Compression
Quantization
#model-compression#quantization#pruning

ethanhe42/channel-pruning

A library for accelerating deep neural networks through channel pruning, a model compression technique.

1.1K
Archived
Python
Computer Vision
Build Tools
Python
#acceleration#channel-pruning#deep-neural-networks

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