YOLO ModelCompression MultidatasetTraining
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Updated
Jun 21, 2022 - Python
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lightweight pytorch yolo deeplearning object-detection objectdetection modelcompression tensordecomposition
psenet，prune model, text detection
Official code of "Forget the Data and Fine-Tuning! Just Fold the Network to Compress" @ ICLR 2025
[SLT2024] DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition
Weight Sharing Paper list for Deep Neural Network Compression
Code for paper: Weight-Inherited Distillation for Task-Agnostic BERT Compression
[EMNLP'25] The official PyTorch implementation for "GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression"
This repository contains detailed notes of all chapters and all three projects completed in Intel-Edge-AI NanoDegree.
KV cache compression for LLM inference: 37× smaller KV cache at full-cache accuracy. Per-token precision on transform coding, question-time refinement, and attention over the compressed cache. PyTorch + Hugging Face.
deep-learning gpu transformers pca attention llama quantization memory-efficient modelcompression inference-optimization huggingface kv-cache llm long-context llm-inference memory-efficient-compression kv-cache-compression
Knowledge Distillation from an LMS-FIR Filter to its Compressed Representation
encoder knowledge-distillation computational-intelligence modelcompression digitalsignalprocessing-filters
Small models you can actually trust on the edge.
Project for CS301 F22
data-science machine-learning model dataset hyperparameter-optimization semantic-segmentation datapreprocessing modelcompression nni
High-performance MNIST Engine built from scratch in NumPy. Features 8-bit quantization (92.5% size reduction) and a real-time Streamlit dashboard.
python machine-learning deep-learning neural-network numpy mnist quantization backpropagation from-scratch l2-regularization modelcompression streamlit apple-silicon int8-quantization
How to compress your Keras model x5 smaller with TensorFlow model optimization
Predict Price of used cars | regression-problem
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