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ryzf-succ's Projects

bert icon bert

TensorFlow code and pre-trained models for BERT

deeplearning icon deeplearning

A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

hub icon hub

Submission to https://pytorch.org/hub/

inq-pytorch icon inq-pytorch

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

interpretablemlbook icon interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

lenet-5 icon lenet-5

implement lenet-5 in lecun-98 by python

mnist-to-csv icon mnist-to-csv

Convert original MNIST database from http://yann.lecun.com/exdb/mnist/ into CSV format

paddlex icon paddlex

PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)

project icon project

Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery

qkeras icon qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

quantize_cnn icon quantize_cnn

For the most CNN, there is a method to quantize float to 8bit fixed-point.

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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