Testing methods for dequantization of RGBD data
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Updated
Apr 12, 2018 - C++
Testing methods for dequantization of RGBD data
[MicroNet Challenge (NeurIPS 2019 )] "Adjustable Quantization: Jointly Learn the Bit-width and Weight in DNN Training" by Yonggan Fu, Ruiyang Zhao, Yue Wang, Chaojian Li, Haoran You, Zhangyang Wang, Yingyan Lin
Qualization library based on 1R
Pytorch Model Quantization, Layer Fusion and Optimization
Project assignment for course Introduction to Telecommunications at ECE NTUA
Uniform quantizer that uses mexCallMATLAB to call different MATLAB commands and plot the results
Quantizing LLMs using GPTQ
IntLLaMA: A fast and light quantization solution for LLaMA
Curated list of methods that focuses on improving the efficiency of diffusion models
Compression algorithms techniques: LZ77, LZW, Standard Huffman, Adaptive Humman, quantizer, and predictive feed forward
Models made for Edge Devices and NN Optimizations
This package is for one dimensional signal processing, converting time domain signals into frequency components, and additional operations that help in preprocessing the signals
DynamicQuantization_Bert from pytorch tutorials
A toy example of OCTAV algorithm for finding the optimal clipping scalar in the quantization error problem
[EACL 2023 main] This Repository provides a Pytorch implementation of Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
Quantization and pruning methods for model optimization during inference
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.
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