rps (17764591637)

17764591637

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Location:zhejiang Hangzhou

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rps's repositories

machine-learning-interview

机器学习面试题总结

jianzhi_offer

牛客网剑指offer 66题 and LeetCode Python版本 刷题刷题

DeepSpectralClusteringToy

PyTorch implementation of Deep Spectral Clustering paper on a toy dataset

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Additive-Margin-Softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

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caffe

Caffe: a fast open framework for deep learning.

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clustering

k-means, soft k-means, etc.

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DCNets

Implementation for <Decoupled Networks> in CVPR'18.

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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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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

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JavaGuide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

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leetCode

算法相关知识储备

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leetcode-2

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

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LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

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Machine_Learning_Resources

:fish::fish::fish: 机器学习面试复习资源

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pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

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pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

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pytorch-yolo3

pytorch yolo3

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pytorch_kmeans

Implementation of the k-means algorithm in PyTorch that works for large datasets

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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SSD

High quality, fast, modular reference implementation of SSD in PyTorch 1.0

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swae-pytorch

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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ximalayadownloader

一键下载喜马拉雅免费音频,支持单个音频和专辑全部音频下载

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