Leo's repositories

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tensorflow-101

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

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tensorflow-in-depth

《深入理解TensorFlow》项目代码与样章

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TensorFlow2.0-Examples

🙄 difficult algorithm, simple code.

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TensorFlow_Engineering_Implementation

The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>

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18.06-linalg-notes

MIT-18.06-线性代数-完整笔记

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annotated-transformer

An annotated implementation of the Transformer paper.

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bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

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cryptopp-cmake

CMake files for Crypto++ project

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CTR

CTR模型代码和学习笔记总结

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DeepLearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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docs

TensorFlow documentation

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examples-1

TensorFlow examples

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fucking-awesome-python

awesome-python with :octocat: :star: and :fork_and_knife:

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Introduction-NLP

HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

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istio

Connect, secure, control, and observe services.

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learn_dl

Deep learning algorithms source code for beginners

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serve

Model Serving on PyTorch

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SimpleCF

A simple start for collaborative filtering.

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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xflow_demo

Distributed training model(LR, FM) demo using ps-lite. FTRL and SGD Optimization Algorithm.

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zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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