3 repos
Awesome GitHub RepositoriesModel Quantization
Techniques and tools for reducing the memory footprint and computational requirements of neural networks to improve inference performance.
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Awesome Model Quantization GitHub Repositories
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- tensorflow/tensorflow
TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst
C++deep-learningdeep-neural-networksdistributed - huggingface/transformers
Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering
Pythonaudiodeep-learningdeepseek - vllm-project/vllm
vLLM is a high-throughput inference engine designed for the efficient serving and execution of large language models. It functions as a production-ready distributed model server, providing standard API protocols for online serving while also supporting offline batch processing. The system is built to maximize token gen
Pythonamdblackwellcuda
