jakc4103

jakc4103

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DFQ

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

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piecewise-quantization

PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation

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scale-adjusted-training

PyTorch implementation of Towards Efficient Training for Neural Network Quantization

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co-regularized-alignment-for-domain-adaptation

This is an UNOFFICIAL implemnetation of Co-regularized Alignment for Unsupervised Domain Adaptation. See https://arxiv.org/pdf/1811.05443.pdf for original paper.

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README

README文件语法解读,即Github Flavored Markdown语法介绍

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wincnn

Winograd minimal convolution algorithm generator for convolutional neural networks.

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ar-drone-gps

Control a Nodecopter using the Flight Recorder GPS addon

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caffe

Caffe for Sparse and Low-rank Deep Neural Networks

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caffe-jacinto

Caffe-jacinto - embedded deep learning framework

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Caffe_Manual

Caffe使用教程

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DCGAN-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

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onnx

Open standard for machine learning interoperability

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TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

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tf-dann

Domain-Adversarial Neural Network in Tensorflow

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